{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "0515.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/yananma/5_programs_per_day/blob/master/0515.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kbj3YTMgPZfG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!pip install mxnet_cu100 d2lzh"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L0rjmdhMrXzU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!mkdir -p ../data/pikachu"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "y6bk-oFQt76G",
        "colab_type": "text"
      },
      "source": [
        "## 9.6 目标检测数据集 ( 皮卡丘 )"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gNUDb8pZrm8N",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%matplotlib inline  \n",
        "import d2lzh as d2l \n",
        "from mxnet import gluon, image \n",
        "from mxnet.gluon import utils as gutils \n",
        "import os \n",
        "\n",
        "def _download_pikachu(data_dir):\n",
        "    root_url = ('https://apache-mxnet.s3-accelerate.amazonaws.com/'\n",
        "                'gluon/dataset/pikachu/')\n",
        "    dataset = {'train.rec': 'e6bcb6ffba1ac04ff8a9b1115e650af56ee969c8',\n",
        "               'train.idx': 'dcf7318b2602c06428b9988470c731621716c393',\n",
        "               'val.rec': 'd6c33f799b4d058e82f2cb5bd9a976f69d72d520'} \n",
        "    for k, v in dataset.items():\n",
        "        gutils.download(root_url + k, os.path.join(data_dir, k), sha1_hash=v)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-ORewUaztoOM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def load_data_pikachu(batch_size, edge_size=256):\n",
        "    data_dir = '../data/pikachu'\n",
        "    _download_pikachu(data_dir)\n",
        "    train_iter = image.ImageDetIter(\n",
        "        path_imgrec=os.path.join(data_dir, 'train.rec'), \n",
        "        path_imgidx=os.path.join(data_dir, 'train.idx'), \n",
        "        batch_size=batch_size, \n",
        "        data_shape=(3, edge_size, edge_size), \n",
        "        shuffle=True, \n",
        "        rand_crop=1, \n",
        "        min_object_covered=0.95, max_attempts=200\n",
        "    )\n",
        "    val_iter = image.ImageDetIter(\n",
        "        path_imgrec=os.path.join(data_dir, 'val.rec'), batch_size=batch_size, \n",
        "        data_shape=(3, edge_size, edge_size), shuffle=False\n",
        "    )\n",
        "    return train_iter, val_iter"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4XG3zArPy8pD",
        "colab_type": "code",
        "outputId": "cb6416e9-d540-49c3-c052-6b4bc0fdd2d8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 87
        }
      },
      "source": [
        "batch_size, edge_size = 32, 256 \n",
        "train_iter, _ = load_data_pikachu(batch_size, edge_size)\n",
        "batch = train_iter.next()\n",
        "batch.data[0].shape, batch.label[0].shape"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading ../data/pikachu/train.rec from https://apache-mxnet.s3-accelerate.amazonaws.com/gluon/dataset/pikachu/train.rec...\n",
            "Downloading ../data/pikachu/train.idx from https://apache-mxnet.s3-accelerate.amazonaws.com/gluon/dataset/pikachu/train.idx...\n",
            "Downloading ../data/pikachu/val.rec from https://apache-mxnet.s3-accelerate.amazonaws.com/gluon/dataset/pikachu/val.rec...\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((32, 3, 256, 256), (32, 1, 5))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wN3CPD00zlj-",
        "colab_type": "code",
        "outputId": "16d29128-b6c2-4385-aefc-69a10072f0d4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 249
        }
      },
      "source": [
        "imgs = (batch.data[0][0:10].transpose((0, 2, 3, 1))) / 255 \n",
        "axes = d2l.show_images(imgs, 2, 5).flatten()\n",
        "for ax, label in zip(axes, batch.label[0][0:10]):\n",
        "    d2l.show_bboxes(ax, [label[0][1:5] * edge_size], colors=['w'])"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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+iSMTp9i162XacYKxMcIDKS04QWupjvQ0TRMhnEJ7PsV8H0JKYiNoOEWsA6z2kXNN+oIi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4yI3r\nY/R299E3MEBXTztp22q1HyBoNhkbmyBWBn4A73rnu/jAD3woAY9CUqnXuXL5HHt272ZsbJxrVy/R\n293Nfd3J7ykAACAASURBVHffzctnX7mla5k812sQIcQ3ozNU80XSZoBpLIOyaOt4jv6hHqqNAnFk\nYlgBMprF9koos4rh9IIwKT8+hmsXGYxrxEpixnPctWs7X5/rIdhUWdIkVgPJz60/YiNRJonGaBFi\nZawxdZxwfSyLSEDKD2jOLnLl3FkWJ8cpaousLVCOQWSkWayFXJ1YoKuQZ0e/i6zHRFIgdYySAmJj\no+iyuQWzTmZeH28kNG+uAG0mPW9UjYiRWiOFRgsXEdaIZMyat0B31yDBfETYqKOlRCjjFnoCr3Nx\n2GjXrDtTm6aZ+PyEEUIk+XkxChXdJDQDKLUeOJsY/zmOQxSD53kUi4Wb14ZSGFKgZGKKKVrzo3Ti\nDl2r1XAz6ZYqKn5DSS/J8FufY7kei6JvcokipaCVExa32m3rgdJaqSSCYpOBZcIjSrqmokXcRpOo\nZ6MQYRgoIOLmPpK22c3K3bpXUJJPppOq1TqXC43XbKKiCEt20l7Ik7PybOty6S3kcIWgoYPXgft/\n7rCkYEs/DLQXGL+6ShiFuFJAFJBPObimSah9DMtCGg5CQhQoAjvNqXOrbLlWo6kVgz0QViv8zYvX\nGBrOMNyf5sVn/oEjx+4gH5sM96Rpy8csLU8xOzvN6MwpDhx8iDMnv83C7ChHH36YylqEjNtwXcnh\ne3fS12/zkZ/696Tb8wwMHGB2Zom2jll6tu5gaWaZlbU1im29pGzF4sIa3/z6p9kx1Muv/covUakF\nROU6w0OLRDJFyspy2/4HOffCk7QXu1itjm/MwR3D23ji2t382SdNdFihdOM01WqJ3/nDfdQuXOPc\nYoavfaO2AX6C4Bif/+w5ct05HvvySwTRVrbsHGZoV0Qh3c3pv/gijfoFUiZUq4JiT5pAlXnl7HeY\nK1V43/27eeWrJRZKaQ7sTH+PlXmz4Mc0OXnuNNLJ4+d7mLj+MrWDO3j+WoN9VZuU3c6zlzVtlkv3\n9VH6ioJOnUPGi7iWza4dW2mmBxFpRVRLMTF3iRtPPU1elemkwuBAB/tvO8CuNoeLr7xEJW6yta0T\nZUvS2TYMb418Gob6iiwvLUPK4rX5i8gwYn5lcuM4t27podlcYUXfwX/9nzaPvnUnO/ddxtHTDLZN\nMfLOAzx94ixH7stg+QbMTaO7ssSpOZQKkMYqCA8jNiEUSNOg25zjPX0Wzy/XWG57BMNTWJtSqo92\nOrjaZuzya5z4279id1tIEMcQR4h0np7u7czPjeI3I5ARdmkC22jDjBQr1YjU/AyuEGgZoUOPruwO\nltwZgtoy9e52dBxiGbfW5FAphYoibMMErTFtC6/ZpFbzuDE6RT7rYkifi5cu8t73vo/ltRpr1VVQ\nipkboxw9vI+TzzzJQw89ShA4nDs/zh13ZoAahw7s46lvfYO5mRnclMtthw5hWVn2HLiN6dlZ9u7Z\nQabYhhfGSC2ZmpxBRYlnEIBpWghpMrJ1J1qYWKbNq2fP0jcwwNj0BKdOPc9bH3yY/oFhELBWLVMs\nFFrci8Tsfmr6Bkpomr6PIRVXrlyjXC5x222Hqawusbo2z9zcNS689goXL77Gnl3b6SkWmarUaFRr\n9PcPMjiynXQmj2XZ+F6NlOsSBQFbR3Zw+txlfvJnf5Hde/ZjSItYRDS8GlOTE8zNzpBOOSzMzmJK\nyY4du9i/7wC9fd2sLa/e8ire+ohJYQh/4/eisYxaWyQwarjFGkQu73nnClrM8Jd/NUibs43732Lg\nV30s18TzJ8GPqU40SEd1IlaRtxXwAV8vk883CMqPbmxfGOaG4gidePtEJE/s6ER2bGsNOiKWAt+w\ncaQkuj7K6Eun8fwKBQRGs0xnyqRhZ7g8uYofCdaqizQDnw9+4D2YUZVgZQlDNFFxjClkK2DVII6j\nf8T12ZzttZkEvllK/0YvoM3O0QITKWOE0EjDxq97aOGwVi3Ts2UrfT29yEgQttyrb3XlJ3GkTqo3\nhpQ0fT+JemkGOK3QZB2vE7qTiuZmdLLuZ+M4SZvRti1c16XheaTd1IYLThzH6OgN/KhWFc+yLFCJ\ntP/1tbt1zyWxoUgTsuVd1TK1TOZQbBgybgDTWLeclW+qEteBnVIxCW95XY7PTS+fOMYQiaHjJn59\n6++kRRjrJJ4lDCPiMIkX0tJI+KlREpWTmHPC3MICzWaTB/YPcmAgTa8TYKVClMN6PfHWDAHbHQHh\nIgcGNDuGC7S1afLZLK5rs7RUpq3QTUSMDBaJwph0p0Um5bE9IymHgmYgGShmGNmSIpXNovwmq+Vl\n3nNnL4YxTu3yVXSUZmm8gmHbST7losf16y/QlQkRZsyzn/0UnW0uQ/v34pOjHsJ3nmjwnh/sSuwH\neiV9rsOXPvVFKouTfP3rT5HOZGnrTLFvZzcry8u4okRlbhvl0heZX16m5mfoHtlKR28fM9deYWD3\nVl44/QIH9+3l1z/+extT8MyJv+c/PSxgYpwoFZOzHTI9KczZFYwTBjuzkofeelPuNTo2iZvNsfRy\nCq9xHK+yyNxylb1Ha3z6M88SlfK8euEqOdmN2V5C65h33XWMky+fIU2Kbb2D9LozpI05rl+5+j2X\n5k2Bn4ZXJec9y689tJ9adZSvzl2nXtVk23bQM7iNb7/yFN19/bh1l+frZYK0z1YnxQGjg07lMrni\no8ZOU9g2SJ8dsBxoTr10mubqIvd2Zfm+wW1cvfQa6e3bmZqYZPXKDFuig9iOiWkoYsvg4bc/ypmL\nz3P80H6e/PPH6RzsYmaySbNZ2TjO6eUy5LpoRAsszmU58Y0CX/3cDf7Dr2/BcSCO5jl+PAfax3SB\nUKJqJUSpDRVJsKZZarqslj3a2nJ0dZloN8uj98xxoFbhD06MsUw3Mrz5BLxWsVipTXDtuW+wxQRv\nqUysmuQLnUzVqyysLCLDBlsGdxCrmPnVChVDU66VOHxgO/3dRUYvX0sceuMA04po78gzPHKQ1ZUK\nIBPJ9y0cQrZKyVqghCSbcVlaWqK0ukQx187o9Uv09g4wMDhAJpcllSvQFbWj/AZn29q5eHGcke37\nMV0bXwXcmLjK4dt3sbawwueePQ2xYt/uPQjT5PZjd/Pyy+fJ5Ls4OrQddEiEwrZtdBwzPjaJaUkc\nJ02tXuHffvyXsVN5rEyOIIyZmZlh247tGLZFvrOT/sEhmpUKa+USSguqjTrlSh2lolaYZoxtp4h1\nEyEMmn7I4NAI2yxBGDQJ/RW++eRXECpgx9atdGRd6ssriEInx++6j57ePizbplKv40eKgJCFxTKp\n4QIRgoff8X6OvsXnwpWrlBseF157gZXlBY4c2M8Tf/8VXMvg+J3HOHzoLvYe3M/a2ioTE+OcfPZE\nK0Pr/x/wI4jRm9Lb9xw/RBBcx3VeQKwKAl3GaiuB6OSHPzzHt7+whi6VsfM18EwckYY4ov8HCkiV\nos3pwlMlrKaHYxlE0QhsAldaJDlOUrQyrmJwtSQQMbHUaENBDEKZLF26yszZ09jKx3QgCH1cO83V\nlYhr403aO9qp1ubYMjLET/zw9zO4bRe9IzvYsnU73/zq3/HK5/804bNIiYnY8G19Y+Xmja99r7Fe\nVVl//+b/K2MDIZO8PkcbeJU6hb4eousxlm1jxGYrM/DWE9dbM4sKmwgjATaWFEh04qujY3TL1yZS\nAUonvBgdy9efQyvPzHVdlAbPa5LNZoB4g+tjSNECSuuAMMaQSftpw/AxboFCKdHSQEq1QXheJz8n\nQaVJxSpCI1ugDZFETphiPaokBBURRdEmc8UE/CSk7dcr8BIH6iSBfb1Fp9ZbnIBQGhOJWn+vIYiC\nCFrOzhsyfa1BJNzRJBLDZHmtwsLiEm37dlM0QpxcTCkIiW9hGc+1NbuGNI4t0aZN6FfwmyZ2e47h\nLb14foOOgo20HVAetWqVrqLDgYFEWJNry/Ps6VkGR1xmxgMClomEwBIxaEGnKyi6BcqNgLrUGI5k\neXKV12Z9JpYryFjT0WPx7jv3E/vLXHrqCTLFHEs1D9Ms8thnX2LPriE+fekag1sGadQjpudXed/7\nHubrT3yD115WXDs3yR0HTIbvP8L9j/4Xrp34e6rmDaI1qFUucOHiGWoLddb0HLu6Qa9e5dc/9j7+\n2+Mt7pR1Deedh1GhRKoILf3EtTuyiN6RIidDTv+br/AzH/t9AKLVVeYunmJwywrtHbdTViW27q5x\n/rUldnfkOV9RHLhjkEY54sH37uWTX36GM9deoLu9B+2HLNQqPPJQF98+Ocv84vPfc23eFPhZXasx\nNmvSrF/h0O69DPZ289roaWzzNUa2v5POdImwMkN7eoBKpPCbMQu5NsqLJYLTs8Q793Jnu4PyJYYb\nc2lNkikU8SLBeBARmSlGL77AtfPneODgED2pLhCCuldFVW0ytsXc6jyr9WmWn7qBlZJcvzZBbAiy\n6czGcTbNJcaXQlZXGuTcRd7787vZuv0edDRH029gSJOUTKGiGC0tQsNHqBCzaZNKOwTK4lc/dpbB\n3YOkjWX+3ccP0nA0BZFmS75BzpinmhqBTeIrwwgwHJNMWKFWWWN2qcLeLV1Ekaa8soTZJknHPvML\ni/R195AbGCFqhPjKo7K2QCqqoVXiPKpFjOlANl+kWOxlfnEVWzpIbm3lRwiBisFrBoxeHGPyyjR3\nHb+TvsFurly7wMXzF7CEw74jtxHEMbWgQRj4pE2Tex58G6NXLhBrRSZVYGLsEqsri6QyLpNTc9QC\nj91Du4lCk2P33sf561c5fM/duLkcmAY6ipHSYLVUJp912b5zhOmpeUrVBn/9uS8QKsX80hKlahXT\nsLlw4TWGHnkb2XSO65dHqUcNOopZrl66QkdHF1EUE2tNJpNCEFEuV7Fsl46eNqLAROgAEUM2H/HJ\nP/srXjvzAv3DW2l4JaamZ+jr6md461Y6e/PYRg4dKwx8bC04ffI0fQO9rISS+9+6n672TpTyydsV\n5iavsDw3zfDwEFNL83z78Rvce/xelGGR7e2kZyTDmZdepVYtU29UCJpV+noHbsYK3KrRajMRxyh5\n82M9OrWXqdletnRLDu08g458dN0klks4To73/NBVgoUQlEyUeaIGdppKKkXO6sSxIlbHSqTSEi/M\n0/BHUEb8xl3fJA0LQV1oLASmikmFcObUKdbmp8lqnzQelmMjUx2cGbtBpT5PVUEmn+Ho0ds5dM+d\nDO3ezcEjR7GcFEon/JOUYWK0/F+kSDhG67jmjZWeddCzmcy8ub31RvPDzfEWm0GQ1gohNEqRXF+W\nIpfP4rgp4prClCYRtx7Ert/0o0hhyeSGbZkmvu8nkRMt0vJ6tWYdxL2x6iWE2FBkGYYklbKJogCr\n5TG10eZLCietOaIlrYcoTIwCNwy5N62zJukEJK1BiUa15lURq4jYMDCFSYJZWirWOE6oPEol13+s\nSWJJk78lCbCF9dZXixvW4ietc9o0MUIncUjEMULSijVNgFzL/HndOyGpHsVJQHMC6BIrDaTBzPwC\na9UBthQEQb2G4mYb9dasJWjDJNaaZjMmk3awUxalSp3x8XFWV5fY2p0hnbcJmxY7tgxQW1vFEJJU\nKkfKNtnenUXogI7OgHSuQKTAK3u0p5sY0iJXcNEiwsAkk6oTtUEKiy2diqVVwVozYGRkBK+WZW15\nGsMOiI0I7SpeuzjPw3vb2HW0hxtT01y/tkSuQ3Pl5RJOYNLZnsShHL9jgPLMAif/5Od59tQlisPd\n3D6cxSst0OtaXKw3efFlyfXZBj1pSGVutt7/w69bUPTxFpqkhURoAx1HREZEaiBHuLTIH/zxjo33\nP/7SCrfvhv/zE79EtVzj2aenMKI03e4qe49sYXR6nI5OxcTVKVzVgRdKlhZCRm9M09MhefmcydGD\nPdTrkxjye38+35zaSwjKgaRRNTj/3EVSwmHrcAexHzJ66Xl6amUapXN0tPWjmoJ0OkN1bZTu3l1c\nrzSpl7I8d+4qP3LPXjo6LDKDQ7x24nmCdBfujm6WPIU0bCZuzLHcX6B9Zz/1jEG41sDUnTz78hl0\nzmdxcZbmkmL/7jtYOvUKbjGDX76pnjHSadbqPgqXP/v8W/CWThJ6LtIY4dSL40yNt/PCyZP89/93\nHyoUYNhAhJHR1NUimWw/ne0GTzwxzcd/aQjLzpOpLLGwco1XLz1DJvXbEGtUdFPy2zAU7uoapfOv\n0D+8D/q2UW2ssXLjCm6syRsBQWySymdpNDzSvVtpqhpSKaTS+KFFILMYMkWsM8SGg2F0oXQ7luVi\nWgr9PTJK/qnD9z0WV1ZIT03x/g9+P5WVMq7rsLa6xuXLl0ml0hw7dgydsgjDCFsYxLHm6X94mo62\nQiIHr9ewnRQa2LFrJ5VajW07djI48CDFdJFGw8N0XI7eeRzbdIm8MDGB9JtYbpa2YhHfq/Pggw/y\n5a88xr/62Ec5c/Yslu2wVqnSbPq0FYu849GHmV5YYXXsOscP7sKJ2pkvNbnj6F3MTE8TxT6mELip\nDLaVlOwdO4XUEWknhxcG/PZv/RLlFZ8d2wYwsamXF+hq28Hd99+OlAIv8qCuSWUiYjsmIkWqY4h3\n/8QxuvvbcbSm6XnMzo9xY3yMOAxpK3Zw+fI12jsKHL/3HpxUBsdJ89JLL3Dq1DdJp7PceeweymmH\n3R07+fKX/wZ71SC6lS6yrREpRSprkEp1bLxmGCbazDG29G6uz70d11rkQN/LbOk9j5WuUF3zWFoo\nsG2HhTRcVDqNGbWTay4SLo9j2D6ZVAFt+Fw4+wieVkhuKoY2PIViEDomY1vohWleOXkSv1JhqKcd\nS4cMtmdZWTM4M71GqbKGUtPctn8P77n7bgq7dvGu97yflJulqZMsJ6kVCGsd0WGYiceMbdtJO6YV\nirnuGv2PojE2AaHN7a03evtsdn7eXCUyWtUQYQpMncjqi11F3HyWwPdBZBEibhHMb/VKapQKE5WX\nihACgqBJJpPBdiyiMCKoN0BDpELQN80bE56V2PDz0Rosy0RpTRAGmIaBISVGMhmJO3QryBg0wkha\neIaUSNsmDMMW2Tjh7qwHha63wpJJWs+Ok8RKEbeMBLVOuD5Ca8Q6tydOWmKopKWo4/gmyCEBPAkh\nPskZNKVEIFok55iIlmu4SFpoOtYQiwSoxkmcrlYKHbf8ploVn+QaaOXISQjiBEbNlkNOXxpj+Nhe\nHAyU3txY++cPFUPVNzB1iBIhnh+TzynStknGsSgU22l4AYIl+tpy2I5NylDEysO2mthWnnzex9cm\nbdksOg5wzZjBoTz9nWlEupOxG9MYlolta2IRYqc8hrozWFKiBk2WfM3i9ChNFZIrFjAMm/ZiO6Rs\nVN3GFDFCRWSsmO97ZABUjiDWxKpKqZGmVlmlzbVwpWC4O89LpzXnLy7w3nvb6CkMsVCuYO1uEJxt\n8PD3dZMVmvHxm52YSArixUkcI3FIl8RYWIRmRDRfxkDwY+95nL99NXn/zqKkLz3A1NUx6uECR+8+\niiVr3JiaYtsBSfaxmOfO+EyWFJ1D0/zLnxzkC5+b4qEHMjz3TIOl0jxzK3NUyzE//hMP8tKZp7/r\n2ry5bC8/oj5TB2pYjkPZ0qxWZymkBPmgjm1m0IVulpUHzRrtkclQsZ1iOMNMc4mVExex2rJIr8BA\n9x765AVKR/Yi65p8fZLz1xUrviJTHCQTuWzJw4WFy6wtL3BXT478gMu3nj6PkXUIdI3VtVkqywHt\nWU3gBxvHOXFjjNmlGncffxvvffgp3vZgip/9qIPrBnz98TKVyhZy7XvA0BihSs5HtqHWbORKnqkL\nl/noPUV+46d3kt25RFQZZ3XWR7RZHDg4wjuGF2jydRyqQBJvMWTNU7Ec1lY9eoeazI6+SE/Bpa09\nT1NKjOIWdK1KtVbFyqSxbAtpZ7Esl5pfx+os4sceUeSDsKn6q5jZPKlsCq+pEDogCJrfdV3+qSOK\nNTt37SQINX6ziWmapJwU+w/s4cSppzh6xx2omJb/hyRo+Lxw4lnuv/9+ql6N6uIk165foW9ggKXl\nVVLpLNJykIaN1hZuoZ3OLTmUobFtB4mJYSjOvvg8tx+6HREn2UCO7fKXn/w0pm2TzrhMzc2zY9du\nECZGu8HK8jJzyya7hrcS082Fb3+VPrLQPcBcNY9pO/S2tTE3N8/5CxfYNjJEubTK0MggCAtNjJ1y\n+fiv/RK/95/+K1LHvOWBR1A45PN1PL9MpARGJkXPrk6uXZ/kjr1vJZXKIVMRT37zOyzMdFNemebQ\n4dv53Of/FtMQPHjfWzANk5/88WMslZa5eOUqE1NzvPPRd7KyOMPh/TvJtXegYsXlq9d4+zsepa2z\nh8Cvv05pdCuGEIJCLo8yBIa++VmIZAQNExyfiYkpUlpz/GBMKp0nxOBP/nsBaS7zsd9pRzfryIqi\n2biBiBz8IMDFxjEDmp7PsQd6OaJLGPbzwE8l+yVCigzx4g2e+s4T7GjPYaRdBjo7sAa2cG1siouX\nbuAHimzB4V0feD/t/b0M7DyASOdZq/uEWZNLc0scGMom6fNCEwhwWje/ELANB2G5WDSIkEgDZBy1\n1D2vr95slq6vV3Y2B6NujrR4ox/Q+u+KCGlamL4kMiOafh3VNHBTRQwLzKZJjESLEB0btxwBCSD0\nfaRpoDUJcAnNDTCiJUi1zsTRLWCStIjWIyy0TkBdFIFukYkN00BHijDWGFacVEukBAMsaSDixHJA\ntKT2SdFGbLB9hGwxbIRoZcdpLMtEI5AiAY2J2ixxqZZyncPTWhcVo6MW0blFhl4HoUkLzbx5/C0f\nH6kT/yLBOl5LYFLy5XQzGlfH68Tsde4SLayTVK/iVitMtMCT1prYMnlxvMq+bYrt3QXw125pVpsW\nEIUWbW1pNBEag3Q6i1IV6sqgs+CSyRfoyKXx/RpBCFaql3zWoRlo5mZX6Orqww8UjUggVB3bzdIM\nm8xX65ilCj15FyktakaEEr2EmRqe5xOpACQMtGdBrJJN2VSWAzo7C6iwyfNna1y+VKHZnOaD7zjI\n9SvLINKkXUnd9+ks5qg3a7TnDLK6wZaeNipejXvv6mBfyaeYLeJ2GnSHbaTMmP07DSxDUg+bHDm+\nc2MOnv5LxVt/zETrKJl7NBERIpYIEfMn/2OUS6M35+yHfmKQ+996lP27BPnOH+LS6NOksXn0/Q/w\npS8+g9tl4q00EQJmpxqcfHWFXcMOr1xtYtoxK0saHcH9dw/w2GMvfc+1eZNSd0hlTIKwThTVkQ0I\nBCw7FhVTkpYgDImRylEsDOBYJkZcZ3FljnqtzFBKA0t0yoCLo5OMFAp8++xZUtWIj3zkXTz+zGlm\n55bJpAxS3QWuj77MUrPJ7Noa9qVTDHT34jeadBV7qDaaTExMYghJVHGxNp2Jv5qmuerhh2UCkeHb\nJyx27Y95x8Mz/O5/vpP/41enWFmso3UaEUsw0qjIx5AG868u0C8GkKaifG2R3C4LYkVnr4sfBaTa\nHZT3D1iVKl7dI73tVwHYKl/gstwNps1qI8SSgkw6R9pxWazU8VRE0GiSsbKYaZOp5VVWfINcdzeu\nMUf3kEGnyLMwWgNpsWNvDsvKsTgzTr1ZIZMqti6cWzcq5Qrd3d1cuz5OLpdhdm2eY8fuIIx9urv7\nqNc9LNum3iwT+j5f+eIX+NCHfgDTtomImW3UyReKgKBQLNLV3UMz8NGGoKenDzebJ5PL0whqG6Xn\nxaVFcvksn/nMZ/jRn/wZgjBEhQGFQoGVtRJ/+Id/yMc+/nHGx8ex7RRXr1xhZGSEwa4O/MsXOXvx\nZfbvGCQdOcyUS0SOg2maOE6awcEhuru7qVdLDA4OoqSJiA2kGaEMg3x7H7/wb36cmetlQsDzQAlJ\nve5hGAVStJHt3cq9W48g4hQijpi+cZlmeYHOgSEuvDrH/PwCx+44hmVJ8oU8Kcfh1PMnee3yRbaM\nbGfbtu1kMhnSmXSrjG8QRvDQw28DJNKwyRVSpJxblxwNrSd/8UaZe6K6MhzB3PQC+ThNT/sz9BYn\naIQVvvbkTrTbw4c+UgQuIWOLyPdaadkhKorw/AjDdXCcDFp+lrBZJ6qVMLuS7ceA0Why/vlTbBna\nSiHjUq2FPPviqyytrSBti8N33cWeg4fZe/gQx+49jjBtLo5PsbBU4v577uKV0YsMDw0hDVoJ3skX\n5DrBVpOY1ulY47rr4b6t4FSdVDfe6NezeWxuZa3/vvn17+YAnXBPImJCYhHjRx7NsEaz6eHYbuvf\n14/u1o51M8DE5yZxco7juEUKVhDrlrJOb6il1ufs5jZaROT1OAopULFCxDGqpaDSWiNNY8OvJwrD\nm+ce03JBbnkEtTYda73h2i2lQOsWCGLdzDKJG4mjGGWopKFlmkCyfyNmo4oUt9ykN5PQ189hXeml\nWwQcrRRaksRqxDI5BqUwlEBIA0O06kY6OYoWPNr4ef0kkiwvmexFCCJlslhrcn56je3bttOWSyHl\nrfP5MQxJ90AW144Bmzi0KBSzdKTbiaIQiBFGjrphYKU7CQLF8lqZSEr8yKBhZnAtFyk0kfZpSzkI\nDEJcqrUmIlJIQ9DRYWNlHEq1EDuTJtSCsC4IwgBhCsIoJFBNDFPjBR4LSxVevOqxt9fBLhYQUrNl\nyxCYEtMqkC3amCLEDQSzS0v0DfTjpIss37hONmMxONhHZ0cRrSNKC0to4dHTO4iKBGmde13Ejqqn\nqJd90oVNEyMSCwXDNPjor7yX3/ydL9+cswJY5iI67mJu5jSWYRD4mlq4xHxVsXXfAIWUSxR7mGaW\nptdgeDjF4tNlto700wyWiZTPe9/xMLXyi8Dl77o2bwr8ZNMpbt/Rz8L8YlImtQQqltRrinrTo1Jt\nYJgOdhzTEBN4xMRmFl9pOnJZLGmAhL/72im6hrvIxB6F1RW8Gvz5pz6PJbrpSPnc9dAIXu8iXsnm\n+rUxtGPz0pkpjCMWw8O9XLk+TSPWdBQcpFmnslgi12VtHGc6KykGDnMzywx1dyADk8VZib9k4WRn\n20d1iQAAIABJREFU+cTv3M/PfuSPMNhOoEO0TBHHEUY6JldwUc0qvohQVgPEAFqGRKJGSqcJq6uJ\nrbzIUC+2sS6k++q3SqjlT+M1q3gqQ+fAfgrdHVTmJ1lbmCKXc3BEhAh8AmVRqldZil1CU5DrENz1\nwCAxime+WiVd6OKeR7ZiWyk+95cnyKUltuEi5Zv0pPzfjHQ6zcz0PCvLizx36gV8z+eRR95K6AdY\nlkVXZxemYfLNx58gfPBBfuTDP4JpmvhhSNPzAEmpVMY0TfLFNrymTy6fIwxC5hYWGMrlSGlFHIZM\nXJ9gy9B2srkCZ158gbGxG4Agk01Tr0T81m/9Jh/75X/HSrmEaZrcdtvhZNvSpquY5fzf/SXdjs3B\nkRFCnafqFtlz9wFKOiBWMaVKmVK5imWabN26ndm5meRLTjkcvn1764x3cfj2e9/cJN1/Gz/4Yx8G\n4Ed/7sN87q//Btt2OHHiBErFvPDCczzy4IOUKivs3b2DG5PzxGGEZbt4gaYoXMDAddI4KZsPvP9D\nRCrksce/eesWkuQJMzYSY7jNN3MpJBYKaeX5qR/XWGoSEWiM5g4mr+9mpT5K/xaLhE4bIgQ4hsX8\n9AydnZ24aQc/irAdA2N1ESeyCa1tG9u3bBsZNHFdwV988q8oWC4dAwN8+Of/Nbn2Nh55x9sQbhrb\nSDhrQkIUCfYMb2P3UPIkf3DrdlzTaHEy1pO6k+1HShMbiUuwRmOaibkeUVK1SPx6ou8JZDbneG32\nwdkMht6YB7bu8yNQNGWT1VqVQnc7lfoKuWKeetBEmhBHib2AYYib6OCWLGZS9XFdlyAICaIQy7Lw\nPC85D0SS+r6pynWzJX4z4yuRS8VJ0GyUZK8JKRN1mE5UWJYADBuBJhbJNkzDxrZNsEg4ZCpKpONK\nEfpBy1H5pjJL6zghCRskLbDWHGqliIVMqjdCtmTvGlrgR7UqP5vXIdZJdckQMrmm46TdhTQSF2oN\nCIklBOtiWx3HRHrdyPL1FTwdr88DCMNAx6IljPv/qHvPYNmu8zzzWWvt2PnkHG5OABEJgCDABBIU\nGCQqkKIiFaZGI0ucsUXZZdFleShbKmk0rrGnyh6XlShLlsihJJImBQrMRCZyujmee+7J5/Q5HXfv\nsNaaH7tvAAhqCtb9MbNQKADnHvTu3at797e/732fN/9ZaiQt6/G1Z08wNOTx/jv2gLz6XfIPXa2O\n4WvPtohbCdVqADRZvmiJlSRLDMNVyZ7pACsTBssKz7XUBgKCcynVsEjRt2ReEb/g4aJIkxjhuARh\ngBSWhdUNvMoQWwtdKtVJYt0gtXlafVgs4Is+DsKxxF1NqVxGuUXGx8sMFc4zNiA4NFnlxEJMt2Up\nD1rKgUMzSpkeqdDZbLDdcTh6oUW1LtnYAdeXVFWRi5d2iJOEbjfh8OHb6XbrGCFRStLrdK68Bo5X\nQdXq8Fo4qpUkuofnZwxcI6BdXW/y0FdPcfG2Zxke3Eurc4Fb9/0gf/UfvsmPvX03Tzx3jqNrZX7x\nl29EsEaAobs9xN7JlK3NNTyVobXD3339Qfbs3833W28s28tVpFkPryiJ6hm7ZnYjHElzu0XU63Hp\n0gKVQY9qpUitNkiagZAendY6bugCCaHJsEM+zdhgShXmD4/Q2jGsLp9G6xbjZodqwVBPejzz7Gmy\njqS7uY7nFTm70SaVlpGpEmura+zZczNL3irHX1pEblWuPM+1zQaFYgXfEcQGxtQqh0YnOH3uDMXq\nXr7y0Jf4V//6pzHpM0iVYVUC1iVNegzeU8TGIb5IKQdlsixCOiU6zRgdpChVIuqWeG5jP+fEe/jY\nYP9NfuE7rC2cQ2c9pgshdcdQb66zs3ySHpJyUqDnbNHVLuO6QGgarJ9/FpnFNP2EZquHH1h8v0yK\nx3arTVlIdKtL2ZEgYvzg+nYLWo0mn/3Lv+Tnfv7nefiRx6jVBgDwPI9Wu0WcJHjKZe/8LnbNznPi\n1Kkrd4LG5he9sbEJsBKhYWRoCJ2keMqhVi3jOg5plnL0xRfJkoT9+w4RRTGTk7PclBrSVLO6skil\nXOTrD/0tmU5JNWht2NzcvGJ9daXLzNgoa5stAlliz2238cyLJ3j5kUe56547iKKIzc0thgZHEEJw\n8uRJBocH6aVxbuO/jmvX3jH+j3/3fzE8NMn0zBxbWxt02m0mRkc5c+womXWQAnqxoVyt0Y0zBmpV\natWQXhrzuc9+ll6S0b3OOW3XClGvvcYIwFgHm3X54z+RHD5wkLff/hxGLXHfOwaZ3HMjmMdAKKxr\nMI6D1SmzM1M5fK4PvYu7MdIbZ21nmmOnxnjgR/rHzQxaCVJHEXg+99zxFt77sY/wAz/+CyQolIHv\nvnKMoaFBxgaraJ3HWoTCx1F5MGnZ8/ICpP9tJhE5H6jf3ckFuw6yf2E1fdsz9tW8ntfyfV5LcL5W\n7Px6BVGWXbXMZ0aTqB7PHXuasV27ccMQpQQDg0Mk2xvYTl/vZOC6d39sTrqO414/yqFfxCmF18+l\nMja3qCuVBz5LyMGM9IsSbUAolHSQwkE5LkI5mAyUUVgZY0mw0iOJXBxXIp0ErIcVhjTLiHpRH4Oh\nkTaXFsi+0Dhnt4k8GFT55Dolg3Vy1IG0pp+wrhGOm1PjL+8J/bDV/nldHgFbIchsHnAaaU3oKqTN\nh1qx0Uip0KlBKk1iLC4SJXLcAAoynVzD/Lk8/lOYy5+HyzgAc3U0ppwC3ayH1Ya/+tYL4IX0zPUb\ne+UjwIhiwcV1MgKvwP5DedB1u5XiBFVaqaHb6+H7Q0RxRqILLK6tk8Qt/NBndt5jfXWVgeEhfBuz\nWV8ncBWehMGBkOfOLCJdF6M2GCpUEBg8z0MqA1YiHYXjePiORVsHaTPcQsBgzaIGLANBkdP1Dkli\nibcNrSiiWK7QSTxqtTl2OzFbO0122ppEFmg224jliKnxKqmOMAL8MAA5QJoZfD8gLFz9PvbLBjwF\n8feKj1Pdw/M077t//MrPyoUONxyqsrG2xbkzL3PkTZM88vRXuPnOGpXRDnfeeoQXPneUb7Wfx1Ll\n5GlLI9lkYtpl+2hMloLvF1hZV5y79Oz33Zs39M1ghWRxfZuw7KPCApmAbtwkcXt4gYdeEgTCpeLB\nr/zMfUQ6o26GWX7mO+zbfxA1OEolDNBG8Qd/8SDGLdLu9igVhrjxxps4de48t952FzPTh6G7jYmX\niXtdPOVTrQyyemkdx3OoVqpMjk+ysbXJwHCN0vA6jc2rAqtitUq5WMGkMbVSkfVtj09/VbG3XOat\nd5SZm1xmcuoSWmrQAkcnYDWJ65IFFdyJSdqNVYRpUnIENo4plYZYUx/gwac1de9+qExQXzkDt/Y3\nMd5iemiKtneBbmeDCxdXGZ2YolYbJWo3CCoGX07g+lW6iSXRMRWnyOLiOiOFSQ7ufh+ZTZDOE2iT\nMjt5P34WEAYXuLh1gZFpieNevzsSgE63w60330yjvp0D1Bwnn4VrSGNNs9Eiy1I211Z48YXnubS2\nyvjkJDrJKIchrpNfmAUKz8+LIm1SXE8RRR0ynaC05Plnn2GoNkieDWUplqoUyxWUVAwMDSAx/Omf\n/ReGBscwWcYX/9uXePvb3sHQ0Aiu51MoF0mrU+y6+2bWWzscXVvmTXce5sXnX+G5Z5+lWKmglMPm\n1hpTk1NMTU2xubnG408+wtf/7iG+9Z2vA3DzHW9huprx11+cxwmm+PM/CWlFhzFiBZEKnn3sJSbm\nq4wOHWR6ZgTpZCSNgC88+Jt89gtHAfjEP/ufuPHwW+hFEVEvZWR0isbGEp4SzM1MIZ2QbqPJW+95\nG+OTEzz+2Lf51ne+wUd+7Ec5c+oVSmUXmXrXVVcA/Ra/zcfO1wabKgtYD6U6xMkAL56+ieXll/mZ\nDxQ5cuQk3tgK1kQYKuC2cGsuWUuQdmKcywMDkaH9I3zt4Q9hKyG+f1V4bwFfO4TaY3BkhPd86H1M\n7zvA06dPE0UZA27A7O5ZEmM4tbzO+vY2pVLIcKnA3ukZBCYfhQiBkVwhD9u+ktiQW5yvfb0E9DsM\neQF07RjrtV2da7U/wKv+7Nrfea1QOpMJ6/Vl3JpDMFjEDUKanQ4zMxOcWjzLuBgGoRDye0eN/9Bl\ngSxJMDanHkshcoek0WRZLiB2kGQmyTsvaYYW+c3IlefSt6kjBLIfOZGkGSZNkUT4no8gJO7FhJ6k\n243wvNyBqaxGuPlNkNUZuj+eMuZqLtirI0PMlfFVluSaJJTKCyVtscq9kpel0yQf66UpaZ8BZLS5\nUhSJfvEjARVrZG7zwpU5KFdhUY7E6tzub/sjNWNtfi0XDtZe1kb2x2CXO3uXReAmZ4NLwJgYS0pP\nCLYSxR98/gl6zvW7YUqNJY3LrG5vE1Y83n7DNDv1dWIdEw44VKo+cazZNzZBuVwjsQlnLm0zMzuD\n7yosglYzISyN0IssuAO4fgkrJF2tOX38EqcuZGQi5z+FpYStzWZOnTAC33Nx3QSjQUuDC8yOCVxr\nue/NU7x5/xyPvLKJcIp4nmRpdYeZWQ/PCxEqoNHaplIp4pXKdLo9ypVBou42I6PDSE8R6gBVUrRT\nSbvnYFJFmDl0o6u6w0ZjDb9rEbLY78JZhJFoIQgcid7c4h23Hbry+/fcPsJWvIKjynTTLrq9gy8U\nXaPZafoYWWd6aIrzl5qsrPe47x0VXjm+w9SUy+w7q6yvd3n6pMELmvz+J+7h83/78OvuzRvb5T5Q\nK9ejGbxiQL3eoN3pEji5ol8KcP0io/tvot5LWFyO0UmCZyy/9+//M/5AGZ0k4AzgZC6eE9KNdjh9\n/iky46HkYcqFeYbcYVrbX2J2epJzC2eJ4y067S6p0RQrPkHogTSE40Vuu+022s2rpyKdIpkxlEKB\nKzVxFFFnlE54gAtrbe59RwVrzuB6Llb4pJmP1BpVK+CXKmh8aqO3gE1I15/HsIYQTT780/8e69/J\n/rlF5mZ3s3j+DPzQ/QD0VrucOHUOLyuwvnKecqnCYGEApT0mdk1hnQjhZCSuolgqsXL0JN1WD93Z\npNPy2NxaITMJadrAorl45jglVcGYJo4X0+1s0mjU39B2/X3LaEMYFEkzzcDQMHGqqYW5lidOU0ph\nidSkrDXXibMOn/3Mn3H7zbcxum8vL104DhMjVCshwnVZ2VgFIej1ulw4f4ZKpYiUFiUUaWY5csub\nUVKSWgHWEPe6nD19jne801Lwfba2Nvj0H/8Zv/o/f5xA+fzwR3+c5sY2K+cWGDs4z6WdVRbbMfP1\nE5z5y8/w7k/8PifPL3Lw5hvp7CSsba0hlaJSq6GxbGytUS4WeeaRh0mv6fx84H0fYfvCImnnOK77\nDB/7xffzMz/xx+zedR8jg0Xe8b5hSuXb2V7p8ZWvPcjw6AC1wpP85Wd3XXmM3Xvu4uD+N+G7DplU\nuF7IyMg4hVqNiakZms1Njr/0Is/9t6e4++57KbiSUjHAKVaZmdvLhbUtevW1K2yV67aEwAiLa3MX\nzOVlBRjRwLVjNNwW1Z5hb1Xw6HfaPP58jX/6mwqCACN2kFYBHo4nSKIkn9sLixGwsV4lCR2cpEvP\nXlOIOA6Zm+A6hrnZXQyOD1AbrbFnch9KGDLrcml1iYuNFuMDw4wmlp4w9Cyk2uAoiTC5A0deFroK\ni8BDkSCsRQsHQZp3ESy4ViCMJVUCVM4XulbQ/FrS899nZ89fulePzC53mmbG9uGODZKpFHQRHa2i\neoLSUAXbdfE6kow+F+Y6FkDWWtIszUd7WYYb+CirsEnOxlFSYtOUNEkQ2mJMhrb6VcXP5W6WVApt\nc/aTUAphU5TI6PYEvVRTHQjY3FqnUCzRjTICzwGZIRFI5eVZYknUL56SvoA691xJJVFS9AtVsNqi\nbXbl9TOOyQuOLnhOzg1K4xiMJdUZRmekaYLWhswYDOBIcseVMHTiHr7KoX2xScm7OeD5Th/tILCp\nzgnioY/CwaYGhcKIyywgixWqXwDlLrL8yZqcG6QjXFcirEcrk4ROSKyv33W2HcNXX95BKofCkuaB\nWzRiwGdjI6ZWLtFsbuC5IfUo4ulzTTppEeN00KrISFkQp4KtrYig5NBuNxmoyZynZCwbm1t0uxnl\nUKGRrG5lrG41GB7yEFajVAZowtBFmIwsgaJUvPnQECdOrVMpVdk1M8cXntsgjepE3RhrYnrrPZab\n9T5TSeKsWZrNDklq6KWWXmKBJbRQ7DRT1uopW0sNpmaqbDcaVMoOgoz3/Eb+Gjx8Zo77aaBED0SO\nNbCqA3oEtMAqjedcvaG648CtPHnsaayTsLWa0Ng1jdHbrC3CgZlp6kkT3TnN3KjD7jnD2ibcd5tg\nKwnY6CQ06PJD97+Hbz71EsfPnvm+e/PGBM9A0ffITIqDYX1tiZ422MTHJuDqHN5mwgp1NccWMSI5\nTlEKRK9D1G7h1AIWl85z+PAgC4vHOXLTrZw79gzvff9BNjcMreYyL730OKvZFodvnOXi+QWkUCRJ\nhjESRyq6rYh2u8Pw8ADtVkTUTbjtth+48jxn52ZptzYph5qpyQmii6cpxttsNEo4K4oPjR5EyaOI\nTKGFBBVjZZG4tY3KtgnKdVBDOfzQpEjHJVF7UJxAxD1GSwO8cPQ56s3VK8esjJRJT6xjMkOhXEK7\nAWSWbtyjOljm/OJZdu2aJhY91rZ7XLy4gnJ9hNFEnTpPffebWBEjjcG1PhfOPIUvCrTaK2ASSv7w\ndZU7Xw4nlEKQJTHCWpTs6wKAdrfN3fvv4tixYxw/dpKhoUE6vTbLG4vsNNcYmxrGGkPSSxgfHWdt\n6RK9LGVudpoXX3ye1ZUNfvgjc4CgUCjgKEUvjjFYHM9h/4F9oASb9Q2SJGLh4nm0yBCx4LFvPMyR\nW29hZG4avx1R3E64mGS0VlYorDdoLV0gTTo899TTzMwdoFKp5HeOStFtd9jZadBrt7nljtv46qNP\nXDlnIzVnFhaor+1D8DXC8ud4970PoPxdVEuCM0tf4/iLXc6dPs3b330/wqvzP/zSzSQ7jxP03d2F\nsIZSIb2oTXXcwa8UGR+cZGVriz/6wz9g/545JBkzMzNYKelGMW4f5KiUg+N4JEl63e3RlwWcVuTj\ng8tLWPC0T+ZsUuoZXGeVulAMEHP3zWfJsgoiqeB4HpgAiDGZ7o8ILrtmApLEQagEmRSx4mr72lib\nB01aQ6EY4rkSaW3u+rE5z6UYFgh7PVbXVigGZZSjaHSaSKYQ2iLUa63m4sqXW6INibakGmyW610u\n27LhKvslP/1r4in6nYjvV+i89t8v//flx5RSYDNDs9kgqLk0ogY2S0ltRrfdwSqLEQZpeRX5+Pos\ni+7vgXTy6AydZWhjsH2hcJokec5XHx6YJHFueVeqL+wFhCDJNI7IkCrHVKSpwSrQaJRnqO+sUC6O\nEUURhbCAtYJMp5iexRiBlIYsSzH9dPbLcMTLW6WFzjvGuWqoP1XKYYYag5IKzwOUwGpDkmX5KNYY\nsn4ae2oMGYZUGIS0GDRIQWQyYnSOHcjS/tjM4OL05UUK3XeruZ6Xj/6suFIcXH0v2b7h4rL+R1wp\nVn3fz4NhhUC5RRKrrivk0AUqWKQHMtKIdJtKtUrczQg9B4ouBovpJOydLHF0IeG7RxNeOrHA2MgI\n9c0tXGnINJR8cGSbXk8T+grPU4RuLlT3iw5SCZT16XVSikWNa13CckBzp8VQzUE7GaGjmZudxHVd\nNJaucQgcD98bxaZdwtDSake4okCmYbvdohKGhKUhtpbXWd9q4vsOWliGRkc5d/QkzW7GoV2K4WqP\nihT52PQaM+u/+9Nv86nf2o0SNYy3SdQZpuiFIEDJMahWWFpavPL7jWSFA4fKVNybOXb67zh5YpND\n0z6FoiHuOWy3e9x4aBgjHZSIKRVTBkPJN59tsOewx6Fhl5WLR7m4uMYzTxe/d1P6641pfpTDe++/\nny8/9CWUgQNz85RHJmjuJHR2dqgvL1IoFGi1E1IxwHp9DZ+A1VTQVA6ZKxmZ3ccrZ1fZc8PtbDW/\nyU997Od45B89xM7GFp0txblXVtipbzN04xQvHz2NtIKDhw9xcWGV1c4mlWIVqYpsbG7SaRmaO1s4\nsoRrruphJiaHSTMP0h2OHX2FcmbwrcfA2CTb2SncUom04yPlDkZZsB6Z3WFruUOaaubmA4RqIKyD\nzcgFgcFNoBZxA8Vma5O1xRc4c+r81Q3rKcb3TNJY75EIC1mCTlucu3iMu2YOMDk5zMKZBXSmiGJN\nJ3ZIttoEfkjcFTzzyMsIR9PrODiyxIUTG/hugThy8IsDrK2lXE8ocK8XoayhXCqgpEQnmtANEYDW\nKQ/8wHup1SocP9qhUKwwMT3JpaUFTj14ismJKUrFct5+V3Di6Et4jmVrc4N2q8XO9g7KLSBFrunA\nar7w+S/w6//8N4iVxKo8Z8cYTbVaodO2fOpTv0VQLRAg0EnK6MQkvU4LZ32HZ77wRW780QdQyrC5\n+yBNndtqiwVFp90kjmNc32NleYXBgQE6zRYL65s8+sjL3HLrvVfO+f733cutN+zjT/7T1/nEJ2+k\nUz/Jhz6asLZ5kv17xkHdyU7d5/Nf3CQMLvLRj0iS1UdQ5f1XHmNudi+TM3NMTQ7yB3/4R4Suw0Z9\ni8mpWaYmJxgdHGCnvoEQDjguns3ZI14QkMUBruuSXWebO+RlijRg1atHO3nqeQFjQ1zdQvszLHZ+\nmY2lLzI/8QJZq99J8AQZTTBJ3sFFoaxAozF2gIuXKihZQOGQqM6rjmxkDtErFYu4rurzVnIRrqNc\nhqohYWUOm2nOLVzKk8FxcBEo0Xc2CXHFwiz7rB8jHC4uL7IRZZw8fQZp8hR3KwRIhcAgTR5oea2d\n/doCCK6JS3gdUfT3j7iwOMLh4qlz3HnfW4gcQ31tGSMTRssDOMaSdTMc4ZNJc11vTKyF1Ggc1yWx\nhixNcDyPUqVE1I2I2h1SnSIkJFlKHPf6nR+LspczslRuZxcGRU6zFsrSix3SnkDLOpoG+45McvZY\nndCrkmQ9UizCGgLHRxhFlqUkaV78pK9yZxmkdbBYPN8HkT9naw0YnRdiuDiOReoEm+U6n3aUv3ds\nlud+RWmCFv0QWSVJTV7QOVKR6gQdZyDAzfL3iM4SYgRKOWgL0vGxSuL1A2CtMdi+hTrv+1zbYb1s\nis//FgiSWOT8Ma1JswyhruNFFnAUTNUg6nkUHc34dIGsEVGZLRJHAegWmQGqApFqHrixwPvePMJX\nHt3k7GoDm+Z2fIkgKBiSpkPXCmwvQynDduwwUFaYLD9WZDTdRDM6rLAmZagWIpEMFA3VsscH3nUz\ngdNje7tENwPplxmbqlL2JI6qcer0eWTRp1oLcyaP12N8aIilpQ1KnsQbHSAsBWTWgEgR1jDguziu\npdvJcAPYaoAjrko0hgIPr/JOXnxkifd96Dlunt/iBz/c5Rc+cZinnmjyz//x4zxwx/yV33/5XMD4\n2GlS0WH3eJnGTpn9uyssXHqF42dOkqUFmmaDWjBLsxNhml1WG/AzPzSH8SICN+Hhh1e55cYqk3sO\nAa9PeX7Dw81TZxYIwhBpM5JWFzWc4pQsDh6pp3L4WKfBs1/5NL0sQ+ysE4aAmzE/P0RjdZWpkXmi\nZsw777qd2blZ4qjA0Wcu4ckqZRVQFBVuOHAPjzz8IlF3i/ML50ljASK/E5NS0W52CdwySysbjNQi\nOs2rrcpGdw1PJVjTIer12LVnnsWFRaL1BXY2TyKc/QiVklFAZRJlNZaEmYkJkA6paIDOEEYQOi7G\ndImTFsNFQ8vZYLm+je8FFEavFlwjk4rJuXkmhw/yrS9/m7KriLqbTE2XQHZoNTfZXFpnYvcuVnYW\n6SVxbs8Xmq3VjPpmhOsXQcDQkKHdGGJhu00QFtlz4AbSuMv6t89/74b8dy7f96nVqjjKJYljut02\nJs1QSqIcxczMFEsXF6hWyhw4sIdGq0VYrGIJiGJFFvucP/0cSRKxd+8cr7z0HBsba6yvrXP33W9l\nemYfSZIQFMpobZibncFkWf+u0SGOUwQKrKTTSfnLv/gcH/+1XyFrZ3z0p3+S46fOMTk6xFrSYeKu\nG9lqtRCVCrt/8ieIEoepwRFM0mJxqYF1HLrdLgjYrteJoojPfe6v2L/vTXzw/e+/cs7/8jf+NYf2\nTjFbrvGf/uMufuhnFfsm1ylWWyAvYY1DbcDyEx8bJJAetnuCixdGePzoPfzs/5g/xksvf5fvPPIQ\nMzPT7J2bxXUdSgODlKsVet0uSZoghcB1RZ7rJvILujHiShyAsOpVupzrsQTkULNrmDUAVhjisI7c\nStn2I6QbELLDjn8z9dU38bbig8iojUkTIEBaRW5mthgUTuChE5/MCXGsQqkmltLV4145nsV3VR44\nqjXaGpTIVUMKQUHmj3vTnj3YPPUg14ioXMTa6UVkaUo3iigGHsL1GayUyIwhSTLSzCJ1/8u3b+uW\nfY2PtleFyq8FG15+ft8v7uJaIvS1eV/aCIS17Jqc4ZWXX2Z272E6rTadTpd4tY07USNTAhGr6w4f\nFVLgFUOyLCMoFMh0RlAqkBgNriKslHGSJCcla4MMPVzpXNHkyL6V21EOxhrCMCSzBmE0fhgg8EnV\nOkEZnnrhG+wefw82c/Clg688UHlRYYSP1RZkCZ1pvL6I2VjTV8zQZwTlDB4v8LEiHzNJJZHKASlw\nQ78fAAtOuYCylizTkGQ4rsSavEMojIEoYbo2xOTICAvRBRITkSYJBTcg6nQAB8f30EqSOorUd+hZ\ngQg8jOuQihx/IIQLiCvuQUT+VZd3CvsUZwuSEJ0BIkGKGK7wkq7PstaSWUlsDf/q126ht7XC1NgI\nG9vbREkT5QTUd3psbWfsGu4yPhgwXCwx//4h6r2M//rVOmcvZThBwHY9pRg4qF6GcqDTtowNKEph\nTozudECSUinnafKdDtQ8zchMiaTbZqRaZN/8BFGkCVeb2GyVc+ePc+7UIjNzuzGZYs/Be9lyx+B9\nAAAgAElEQVTudmi2OnzrG4/Q7KYoLlGrFPADxcDQINutBKUU5ZIiahlKxYQ0ERiRQ0hDkZBd8zlb\njfI4nNs+CGuv+ai89QfhkR989c++/dwTvHXfHEOFHsdWIo6+tMOpSzW8Mhya6zBeK9I6O4Q76LOx\nphj2ArY2It41X+f8omFm7Bbue8siX3+6zgtPHP2+e/OGCc8La0v4bgmCDhvdNt21FRpRD5Po/E2l\nAlKTcezUi3S6bWaLJcbLhpKQFIXH+k6TgvTANgmLQyg3I40tou1BCAfetJtdRw6wfWmF4WKJ7ThC\n6SKpyojjHmNjUyycu8BQGGAcQVlAuxOxfP7qbO/MsRNM7RpHCkOt5PLme99Gpp6m3a6z1kggnEfW\nj6KdGClitHUxsoCyGZgeUglSFI7nok0PqQ2f+l//BsFuAulxcXWJgWqN4ZGJK8d0lcBIw/4b9nPs\nsecpq4zUdDEjA2zHDqrtkSWK1bVt4k4GOr/30Ei0kFTDMjOT0+DlYLBuq8VwucT03BhnT58iTrrX\nFYxnbZ71I5Ximeee421vexuFMKfXKilZPH+B//uzn2H/nt0cO3UcoRxqg2MYq2k22jR3dti9a5bj\nR1/iyccfo9Np4fsBt99+B1OTc2TGEhQKaAGu6+G5LkLkLpZCEOI7Ltbm/AmdaVrNTp7ojuTS0iWG\nB2s8/M1vM7tnkl4YQuIyXCixsbyMIySVuduwUcAjF15m3w2HcPtfWjs72wgh+JWP/zIIh0/+i09w\n/2PfBODwwTvwRI9MdHAGt9m1f5RTp15gzx4fS4IQljRr47sOOpMINct6dpBGfPUTWyg4FGtTTE3O\n44iMdrPB1ladXqbpdjoM7Z4lw5DEEa4U6CwjCAJE34IrDUxMjL+u8PYftqE5FE68Tv6bl1kco/B1\niKMNoRL0TAGtYlbW7mao8hQOIIzKywohEcLBYGjV6wh/EMd30T2FZADkVTHj5Ywl9GXasb0yVbhM\nfkHkoD6DRgqDSXNh7UazQaIzbJYLXz03t/AiJds7DYrFAK01UScii7s4klwAK2U/GuHqc4DX7+K8\ndvR1bbr7tcXO9+h+pEFoge84BNLDCEuvF2GtoeZX+jE5IY7wSIm5nktKhecHFCsexlp8mXcmLouM\nhRAox8GRkkwZhMpJza5w8nHltQVfmpKmKd24h+s7KE+AiFhZOY/b6dHsNPHDEGn8/D2gVe50S3JA\nnoPFdX2k1H3nkshFykZj7dV8NGNzOrQUIF2FlC7SzQsQLcAkST/DSyGEwJUKbQSOMGgNvVYP3e1i\ndlpsbDUQ63U6y+tonZImKTgOUa+HtaCVIJaW6uwUQaUECFIJqc6wAoR0+vrUy5Z/+m/IvkOQPv3H\n5kCDy3/lNOjr2/lRKg9/DYMMx9QZrJa5uLjC7Pw8vt+ludykHsW4hRqFSo6O8YqKzClhd1rcsd/j\n9sMDfPnxVbbaglpBUw4FnrJYDVGSYFoGjYPnpsxNl/GciMDLKIUexaKHkA4zo4M0Gg0eefIYl5Y2\nCUpTTI0FJEmupdusNwmLNV48vciDDz6M77solYe31CNoJj10kqHPtsl0PvqslSW+o6mWZJ9LlSFt\nxtCAIKz+91/fpodL/MXndxgYOcO+iSmy3avsPdQkNUM0Goa5qQkK5bN89/Fl5vbXEH6RlWiHlZaD\nFR7rOxtUiy7dVLF3tgS0Xvc4b7Dzk7cRhcmhVtZ12Ol2iboJJslwlMJgcAOX6nANrxcQGHCxuInG\n9jRb9QaB43Nw/16inR2wEld4FBU42jBWDpkfrnHi/CYTThkjtnnXfW/l03/9GQaGQ3qNbdyCw+5d\n8zxzYoG0oBgrVYmuqTS7GxFivki72aK9vsOX//abJJFBq4jNVsj//rt/w8d/KYDYYIWD9iRumhIr\ngRHgao+CVqTpMh1VplL9EZ566c+RhYyu7lJfb1LwSwxXR64cs7UZ0dhc5+HVv4GiJstiJgYHePbC\nEjZxWD93kYJfpL3Txk2u5tXEUYLjKprtHVY3oNvtUiqVqFQq1DfXOXXyFWZn57l0cfG6JoH3ogis\npFAqMzA0hisUwnWwGDY31vnd3/0dKoUi/+qTn+Q/f/rT3PuOd7G+2eTY0Zc5eeJlNNu89MJxms0G\nSysrlEslbr/9TpaXl3niqaf5wR/5CEYqdKpBKKR08uLYZrgqJQwU2IRMx0hp+fiv/iMy5fDut7+b\nMwvnKPglZudmCctlHAI8PyTuNnnxu99lfn6cz33mJDfedBeD4/keWGsJwpDGwgJJlvIf/u1/ZGBk\nmLHpuSvnrGWeer68tMwvfXweh2V++x+/xJ8++FNk6RLKSXDdUR76/BJnT6/wi/9khr/+ypPMTb3t\nymPUKlX86gheUMV0VglCSblSJMlS2nHKTtRlp9mgvrHB6OAQWnpsbzdIs5SwWML1/FzzoK9/JpQU\neVHw6jwbg5Y+PadF1s1ACDo2JrExQSb4iy943HvHHdxx6OtgFVp1IfVYWmkzvbtMoVRldXkvWXYL\nUsXEmca95rqmjMUKQyI0nsrHNMLkRb1nUxCwWd9mZGiErjZIT4MSnF9dReNhTZSLmJVCuQrP7XN8\nhEO7FeEIhzcd3k9h+xTHXvkOymQI0wcgCpMLW18zdLrs2rpW9wNcGYtdXn9f0aSkxBhBoTxA1RMs\nbyzhB2V67QbD4RyL9WNUy9O4Mn3dgvMftI9SUh6ooaSDBdIk4Z/+9r+8rsf4/8r6nf/lE4g0ptfu\n5m49a9ha26R5aYWKH9BsNvF9l24CSZyQ6AzhONSjLiN75xgYHqCtDR2bdwLV5aDZPvwS2Rc7W+Ca\nEZjt/7khzUW4AoR1weZIluu2BAwOuCQ6lzR4VcnBQzfjBw5r6yc5eXqNyK3wwXv3cGBqiBPHnkVY\niNptSlWfobakVo74rZ8d4eiCwxcfXaXkOlQqgsFSHwmRKXxPUqsWqAQu2kqqtUHarR3GRwdZWt6m\nqDLmD+5lbX2H6eld1JvbjA7PE4YlHB9UVmdjZZFLW5KegkBAJ847oLUwQFsDjiLTBqslQ1WH6fEB\nlG4wMuQxM1fl1rfOU5rwOX26ycrqCkuPvIXOTo3NZsyRQxn/4ne22Xf4JpZXz/ObvzbNd777MqYl\n+P3/8xg/+67buFTocnJxg4pfZXKsSau5xMSYIjMZe/dW+PM/2yQczNjegtmxm3j2qUe55TAQdzjw\n5iovvdRCmy2mh6pI36Pid9m7dzdw6XW35g13fqzj5Sm/wiGJM1RYAJlBH0qlHInruTzwwHtJTcbj\nX/hbfCEoeAFGSMoDAyRpihP4+EZhXZ/UlSSmxeEjRzA2IcsySuUqm40mXsnnye9+m/0Hd1OQDrKp\nOFnfIBKS+bFZNpsblKsFLpSuXsB27b6JuGXpXsiYqe7n6NOr3Lp/N2dadXo9h9//vaP89Ec/wWj4\n5dzK6RSRAhwbg0ix1GBkH3/1RxE3vf1GDk/dh/a+hNGKofIoW2sNOvWISxeuCp43VtqMFAbpRR0a\nW2sQlGhlhrnyfh5/5Xn8sIQ1gorwUGHAZqeBVYrBcki71WZgeBA3CLEafM+n3WxTKhdJej0WFy5i\n0uy6OoQyrVlf32BsZJQzZ05TrAxQ6FP6tbD4rsfNN99CaizLq2ssLF6kWBniG9/5Jvt2z/DMEw9T\n31rl4P6D3HTDjUjlsbi4RG1wiBOnzrG2tc3geBfPc/GcXKPjYLh4+iTt9g6NVpvzZ09SHhhGpymO\n76MzzZe/8iAPfPjDSMeDDBwhcFyLVTFPfusxZg8f5rtPPkIv6nF6+SK/8Au/zPPPvsjs/DxK5J2W\n4cEh/CDA6CKl4lV+hFUxSdRhZChjoH2KnecW+dMHfw7LKaQoQhKAnzA1P8D22iK+2eLI7BxdfTVW\nxPXKNBpdpCxScV1spjFpwvZ2hzhL0XqcXpJRGx4Cx8HaPpZfSIyxRHGPpQsXuAxeu95LXBEE988Z\niTR5CroRoDEIbSgYQAlSofjaVzzuuucGcLehN0ivs8PcZBGRRHTFfby8eTOClNe0dKB/Xkj1qrFS\nu9XCbG8j0h7V2jjdJM1Fu1ax0YjYaTWxSKyNkSrvJlRrA2DzcNpet43neaytrbJn925iDSbTSFeS\nxQkogTD9zoZS8Do5aa8teK6lCL9W6Py6o6++vT6QHiI27J6eZVtkxL0IQui0OszOloi7ts+iuX5L\nOYpiUESK/LkHjv///j/9/3SlcUxmMhKToZTCq5Y4d/oUA8Ui6+0WwhEkvXZe4GYpnuPSS7vEUjMw\nO0Er7dHWBiOcvPuY5Xq1y7urRB6ZenVdYwZAABEoA8LFZH7fDda+buenjWC7rVHWMjI2ycbmOkEx\nJcsMu+am2b3/CL/9h3/Hxtoad984TbVaxvVKDIx4tNsJU5PjFB1DmvS4fV/AodkphPB5+ukFrCux\nwmWnqUnThCD18J0OWZbSXuuRGp+leAmpNavLdS4tb9JLodWFgiO47aZDDO0+wPKff4nMuKxup7yy\nCmiPW28KOFHv4XV8WlEXxzooEt72lj3M7vEZnShz4MgETpLgBdN8+5GvMTRaZDNb4vY37+Kzn3+e\nsYl7eeJMwqFbLC8+m/G2O+7kGy++jG13+asvnSH1utw2eiupe5xCqUZzs8HeCY+N9ia//Ivv4L/+\n2UOsrQckImZ6aJbb5z2+deYSVBo4m2e574G3sHBpgdHhNs0THSYmYWsnoNneodt1acaCJ59tfN+9\neWOcH8AqhTEgkHieT6lcJe4l2DQXmCnHwfdd0qyH9Fykp0jiFDfwSTHs7DQICiFeGJJKhSBHk7uh\nx/TuGXrNdU5fusjg9A1sxRF33nozJ04e49LSCjXP44Pv+RFOf+MrHDx0hOalNjMvxIzJMmeGxq48\nz6A2yObOFnfc+U7OnLvEwLhPdWKc8TBEei3sdIN3feDf8uxXbsctdSCzGM9FRQKlBDoY54d//BsM\nj7yPM/WY3/zEPyPthvjFgPpGi9GBCQrlAkoVrhyzGowzMTjF5soFxkSBM5e2aYQBUkpSt8z4UAWS\nHqOlCjqOyTZWaUZt5uZ3c+zFl5mbmSdDsG3WiePc/hn3YowxeF7Qz7i5vrPocqXG4uIFTh17kWYi\neOsdd2DIhYvlUoUkTullloHBIc6dOcPXv/MnjI1N04sMtWKRfXsOcOjIDTQbTY4ePUmn0+GO0VF2\n79mNsQqFJVCgbEqp6PPEo98mjbrUd+r4oc/YyCjCKRBHCRZwHUgDj4sLF5md3U2n1aYYBnihy/bm\nJsVqma21NcqlKqdOneODN91GY32dUiHMtR+ZxpM5DE9IRapi1DVFRjWoMD5Y5fiT36D33CBZoY49\n8DgvvXwcR47iaMn0rpDDRya5YeAQjcdOEBSm6G6HV1836VLwDRk9Mukj0ThCUS4G+KlHFncxaUY3\ny+gJB4UlieN+FEOeSTU7NYFznTk/l0E/eYF89WL/ox/6qTf0MDKAwjUszQLw/onv++tXwIpS5CqQ\nPBLCIB0Pz3dotDo0O126UUovTVndaZFpS9bbQVmN8gOCIMAYTej7dLtdpBAUCj5kZRYWFlivN1hc\nugRSokVecNncZoW0/UiM12h5Xi/h/bXC5+93PlJKdF+HooSAzNBpR7iOh457yJqi6FUplUO6dLjO\nO4k1lixOchIzvKrj+3u//hsoKXGUg7qitzJo7JU4i/xr/XJ4rsEY0D1Ya36R/+0PHyDTSzz8zQX+\ny588zKUzNT76o79KEimk9XLNl+zQS1p0WhqlHPwg6HfCrnbShJQ5bkBnJElCHMUEBR+pNMqxKOGA\n9cD6uIGi244AgeMHWJPxT37vUwA4gaDbTnCEhyMcol6L4flxxiam6OefcvLYMaJOl8NHjkCWsL2z\nhYhTEgzdJCE1edaZUBLHy11tlxk/36vGurrvuR0+1x3mOiHzGqfYP3zFmaEeOVRMhlIOhw8d4qFv\nPMwtN7+ZXmudUjUlUFAtD9BsdBkYGKMXdejEXYqlGhtb65QqIW4Y0o4igrBCbDQ3vXmOhx47j5EG\nGRRoJAkbG132TlXIdECr3SP0Mtr1Xs768RzSqIf0BFkK27pAakDYjJUWtNopfuBR9hIGSpI9e0ZY\naG5h3QYH904xsxv27Z+hWClz0x0x6xtdTh9f4YPvfj8PP/kEkV0iit7OrffuQtQLHBp7lkceu8DJ\n02scvn03Bw/eSWGtytH1Jo3VFbppgw//wD3YRo9QKTxP4BdjxgZSCHyWFpc4crDGUGUPn//mSRbO\ntrn7Hffw/MJncN2IzbU641Oj+OUSl5YTxgb2o2mwurrKRd1jaHiQVJfo2u3vuzdv0Oou8P0ArWOE\nEmghseQt6iyLMNhc5CZEf+4swXFBKyI0RsBMbZCdZhu/FLIjDBWjUK0u+940jydcdtqaUxfO8PP3\nfJjR4XEqxVF+9qP386l/81ukpZCwMMa+8b3cc9vdLFaW8C90cXdiJgavsljq61104uNkIavbOxQK\nPseOL+AODZMKB2tKHHrTj/FzP/5VPvv5uzDZJVxZo6cC6vUZfu2TLzC17yP4BQ+dFtg1P8zWsWPs\nmprn5ReeoVAssLXe5IY33XzlmFPFGaa8Ee6aGuG754+yMT5F23gM+CXKjU26ieWmg0dYv3gJvADl\nF9k/t5vpiUlOHjtHu9mjUCgg+q9lFHUpFAp9OFU+77+ejhLP8zhx7BiPPf4od9x1F3/+11/CcXwE\nkizVaG3JUkOpVObRRx9lfHyMO29/MwtLq6zWN7nrLe8la67yyKOPc8uttyNdj4HhIsrxCIICotej\n4ns8//yztJpNtE0ZnZ6lsbnBxOQQy6trvPjSs+zZdwPKERRLAVFsKDoOpWIVpRwKhUIfoKY5duIU\nk5MTPPXMUxw4sJ/tnSZBGBJHXfbtniPSgo7JCKsjbDYbhMOTdE0D55oX7Rd/4mM88/TDeLe+FZs9\nT29nFVv3OTy3l9SARRPEKVH7HNsP1xlqV0g6HUxw9UEcVyGkolgu0tnapFbw0FrT2Glw9twFJt/1\ndsqlElGvh+d46DRiZHjoCoxPA4Vy6boLnrGgjclt9ddbT/T3LKUUFhclJZ7rgDVs79RZPXuWarlA\nsTxGoxfRjhOW1tbYbndIkoTBSojnufieh6sUvusiLFRKZZI4IraCQilgYLBCdWQUtXWWoy9BprNc\nsyEl5Kai76E2/33Qwcuv+2tJ0Nf+8wosMZMUwyJpy1JyXeqtVq6LCQy14jBJ0uxX7Fx3zo/ONNpk\nrxrTAbklPQgx4mohImVeDOqs75ezBqt0ngzvecTdDhjNj//kzcDTKNHhXe/yOLjvbXzy179N3K0j\nshG0ERjZzefDWQEhOggEJs36kal5kYvMbeuXmT+ib/e3mQbjglFoFIIE6aToOMCYDpYMkRax9urX\nTnM7nwiYrEuSdFC+pt3cpurUkHIEV3lkfkg7TpjYv4+406RjE5JOl3bcI0XmeBVj84gLAdqavNsj\ncnv76xXG+TL9oufaz+L1/exYBEvtjMP7RgiLBZK0w9vveQunji3QU9DcusQH3nk3rkzY3NxGBQWi\ntMfY5CzdTkarm/0/vL15jGXXfef3Oefc7e3v1b519VLVe3NpLs1FoiSS2mxLskWLyowVexxP4tiY\nsR3EQIIMDAQYIw6SwSSDATyZxAjgkcce2Y7lRBrtErWRFLcmm2Q3e2F3s7u69vXtdz3n5I/7qpuk\nRQcc9+T8VfWq3sO795x77+/8vhvlioNvFZ5XoddPKfouUgR89pHjFKtFbqyusLotaLVT7j06je+V\nWFrfohWmCNmgHxoq1YBUCxReHhViQAmPTjfj0Q/dhdQRSdShWq+ggjFmx0YouBdI5AT/4L96iJUb\nVykWFLWRiM2FRU7e/2keuOduvvOtPyUMDZ/5zCf5v/+v1zl3TvHJJz/ERx76JOGK4aHPH0EVaoS9\nkPrwHjLrsNMJ2d5c541zb3LxSoEktVQrQ3zw2CTnzm/zkVObrFxZwK1LCuWMMnv43nPLHNv/Iv/9\n7z7GX3/9FbrlUU6fOcvxIyMEwX7Wl1c4dyXi058a48oFS8cUmG0EhP2fDnnB+4W9jMVNDZgca/e8\nIPdOsBJjJVK6KJWT3Bw3QLkujgXP9YnSBB9BurBOxfGoFUpsF1z8SoBbKjA0PUEr0bQzhVMY4rmn\nX2FmeJJzZ17j8rlrJO0uO2nIn//lXzA9NszG5QUWV9aozdURlLmxtXnza6aiTGYtX/rSV+jEGyjX\nZTgI6IiX6ccpSkvO6pSjxVH+5ZOX+Nn/fIz5Jw/xm7/yVe44eYrP/OL9pH0HIdu4Xhl78ADzdx/F\nNXBgaozX33iVzbDJmdduJcY2Xz7PY0eKLGxcp7h/kpFKneOz+3jux98mcGLqPQUrW6wv3UAFPt1m\nk6FalbeWrhMMV1jZ3GCs1qDZalOr1djc3mJkIP/s9PI27O3k/LTbbR566CGMzbixdA2lZG4vrzVS\nOQR+AW0MrW6H+x48xdK1a8yMj/Daq6+xd99eCqUSxtYZHktQ0mNiYgrf91Gei+u5VKoltrc3WLh2\nBSUNhw4dIun1WFtc5mqnw979+1nZ2CGcTlCeYnVjC2Nc/EKNl185w/FjJ5iaHM9391JQKJV588pV\nRkZGUa5HsVymPjSENjY31hoeB6uYGBmi6DrM1oeoOLM8/tB9N485Ez0iV1CYrdL4+BQVQjISrAXX\ntaBSsqSKl2Y4NZ8td5x+VEW97d7pCGgM1UiNodNp49ki6yurjE9NMjQ8jO85JArcgRu35yoyk9Dr\ndRgdGUcph9GJMYy5/Qohx3FYWFhgZ2eHi+cvkIYRYb/P+tY2L3z3BwwNNTh6/0kcJSCMCU1MIB2K\nZZ+h8SGGaqPgOGSxxlgHVYmZ3XcHDjZ/4L0LMjLWIJRADtRrSuUuxI5jWW23aHZauG6fWl1xeWmJ\nne0tamWPQwf3Y7AIqfDEoDtjLHEag7UoR5AkKTrssr0VooIqVkmEFKQDrxkh7KDYuXUO3v39fpqH\nz3v9DryjO2S1RqEIM82LL7/MfZUPs7aywWijjvAtlWKdTnedTAzj2Nvb+7HGkMYRRuymo9+67svl\ncp6xlSQDjkse7YGTR23IvBGEECGOUiT9Po7qg7PC8RMTkDYRmcaYHmW/wec+8/NceR2kzBDEWC0w\neGSpyINOlSEdGEVKIbBCMIjRys/vwOfJlQ5Ce9hMYpRG0MMIAaYACoR2McaS2PY7Mgqt2iGzBqsy\nhCPQsUTKKlJW6UeaWlkxMj7OTtJnJ+lhTEriCLQriXVKahWptWiRQ/l6l2Yvdo2d/2Yxc6vo5Wan\n7D/WkDnwzN/75BEQHkY4ZFmS82VqDb7z9DlOzk3wk+dfYN3N+NAH7sJhGNdrELeWmBwbZmKkjuP6\n7DS7RJkkNg5WRAjp0e52mahNcvzoEc6/uczpcxfZM7OH8dFhwpUlRiplkqqk6CneWlyn0aiSJQlz\n8/NIz0eYhLsPjnPj+lt4jTqV4Sky4yKU4OjBeagO0dleoSiXGKoa0thjZTtmPj7O+XMvUm/s5cjx\nu9lc+hYffMDnm9+I+fn2FsQOy2uXqTsZQ4cfxNqUG+sbNPwS7ZFxLl1cZ2XL5d55hRaanfYSL33/\nZT7/xM+C8zSFAwW2uiEbq6d58OQoryx4PPfiVfbOjLC2DNWSQ5pKUAWOH67gSJ8jh8r82RevMbnX\n5465Ozjz+gZXelu8F4z5vooficARijjLbcd73S7GLWCszL0KEAirMUbhSBcpHTzp4jsFhHJxhCJQ\nHqVKmajdxnUdNrdXyQJwajWMH7DS7nLp8iJvLjSZmCjmypluEykNyvPY3t5hqOLz4os/IXILdMeG\nSDLFWvtWe+u5b/31f9BC/eMv/we9DYBIxTwT3eBytkx2fYde22V4J6Gx1aZjUg4NDbGyuIwJQ7rd\nNo6n6La3sYFHoVpA+Jqd5nbOM/B9isUiURTfvC5936fX6/3tX+J9DD1Qj0RRTBzHxGmu1rNWkKV6\n4O5pAcn+/Qe4cvEi3/j6V/nV/+y/oNvt4aSaBMmVK9c4dOgoyvHwCyWUVGhjcIo+fqnAxz7+Ua5f\nfpNL596gUipz+eIV5g8epFqpU6qNM9QYotXrksSG2X172bN/jqtXr3Hf/aeIoghHCuI0odFosL6x\nhsksr7/+OhOTUzz1wx/z8cc+zpH9B9lstVBoTNihqhKe+PgH2TM8lEvOd0dm2bqyzp2ntthkk5Kj\nETpAabBZDMrDFS2Slo+/xzIyPk/8pz6+vrW20jRlbXWFxZVl9k3N4HoOc3Nz4DhI6ZIkIUoo4qiX\nFwOZwZocknCEwHEUP3n22dtayAL0e33OvnIGISUSwcbqMj/88Y/xlcv++f185sknUK6DWy6iwz5b\ni0v4uCRxQr8XsrXZRNsrxEmKlJKJqSnmj+5H2BQrJdKqwfogV8QIg7RyUPgYtMjDQJUE5QeIfkbU\njdkMWzjONHFvm1KlRMHzQVs818GQK5uUkIAhDrt4rkeSGK4v3mBmfIJKeQivFHBhq4l0/EHyuM2V\nacLBDEQ8wuZPOykEesDb2T3Hux2ht6/9d3OB4Jb6SwhBBniB5K3zVzCJxS9Y0qSPzAqkrsJB0uv0\ncc0kSt1+k8MsS7FCIaTAvO2793s9fD/IzQyNwWidq73MrpGfBDIwGf0wxHcKpEkH5CrB6Az0I9CS\nqN9HmhqkSe7snRmsk2KtQhAjVe7dlKVZrvJyHOyga7bL78o7VBkaSOI87FXhAhlWZhhchBZIIRAi\nN/rUOt6tSgDIdIvMWjJy52edJTh+AW0DMiK6URO3oLBKkmQZyDzANxNgpcCkepBjJuFtcy6ERAjL\n7h7jpwffDvx+3oP4fruGby39XhPlzuCKDJNqgkoVLaHd62KN4a47jvHWpQt0Y4vvl5DKYXRsDD8o\nYJIIKRWu5yL7Sd4xDQKyzPDWwjbjQwpnyzA5Wsd1DpMlKXG/SaVapFAMaK7vUCsP4RSHWyMAACAA\nSURBVEkIfBftQJT2CLfazB86TnNriZmZaTKTUa4MUR+aJYoi1q9dJWp2eGDUobudUir1Wbo6Qbfj\ncvaFp3n4k7/J5voZbGeB6sklXvrhQXqts/juSbZe/w7jB1zW1z2GE0XCMs88twmyTGbbxFsed9wV\ncWx+FmkFiSiybypD2POcfc3hwXsc3KDBy4sxDz/g8NoNzcjQfl46vY4l4pGTh/n2U2/QbveoVUss\nLl3j+kbKP/ytx/nLP/sJO1s9hoYslxbfW4n5voofgyXxFNp3sf280Ol1Q/qpxTq5KVKWpbjCIWxb\n0rjD0bsO4/R71EdHGdu/Dzuyh/ZOm6e+9k2OHNnHK9/6S+qeomgd1jc7hAm4bsBoo8jjH3uU0+de\noBOtMpUVMJGHYpigOoxTL+FnGe2tjDhLkfKny9n+/xrzj97HtWvXaaUZvmeJ2GapdYVm1EIIywtr\nb5JkKfsOztML+1xbuIboh9ALcVCMj48xVhsi0Zp6Y4Rqo0633SKLe6jhYaQbcPXa7fP5EUIQ9kOU\nylOXszS/seQJzulNWWsYRpSKRZ544jO8efk8f/A//VOeeOIJpoZHCQKX1dVVtMkfJtVKBSEtjuuw\n3dxh8doVKqUCl984i7KSA3sPMjsTc9fdJ1lcWqU+WmOn1cYoSavbRfk+H/nwY/zZn3+Jb37zWzz5\nxC9Q8B2ur64QFEoMNYa5eOUSnU6XqWnFxto684cO0+52cyfuLMaxCSXHMDozjFsqEPZv8bJM8mX+\n8W99GT9ReEMZwgborQQpzGCnKEEWECMGf3QOXRjn+Vee49EHH7/5GVJYCsUCxw4fpFyskPT7ZEmE\n8Bww0Gq2EVrjel6eXRTFA0jHkmlNt9Wi32kNOqS3bygp2drcYmXhGmhDvV7nkftPMTI6gnEdxqcm\nSLRGOg4XzrxCq92m3emgjWZsbIx6o0G5UsHzPYzV1IbruG5At92l0RjKVZ4DeMAKgR38LHFxbR66\naVPA5O7C01MTCOPQ6uXGc+PjYxRKBTwrUAO5s7Qml0vv/q4UjuNghKFUCqhWa2AhtRlvXrhIOUtx\nHJXLh/WtHf4g/uumqGc3yPLtsvbd33e5QO81dpViBcfHaEsUR9SrZbaXlilkJRwtsXGKzSCLNZ5K\n2c0rul3D2vwYhLVkSfaOoNpCUMAYTabzjouSCisM2mZI6+XsH20wJgLrEPVigoJLlG1Cfx2MwPY1\ngYJutI3rJgjbx5gyJvawoo8Vea5YkmT4TnCzOEjTNM/ecpxbURpmkOul09wwVkRo4yBsASFBqxCB\nxNoUY1OyRGHVLcuOsCPxi0UclZGRktgQLQ2xiQmKLp3WNmHYx2DY7rQQOkF6Ll7g55BbJnKis9TI\nnLIzmF81KGb+Zof1Vhac8w6o8+b5v20zmX9WgqVQK+O5BVyRoa1kuxlSlpr1VkgvTpidGWXprevc\nWFxHpyl79uxBKkOtOkISdlGOpFr1kbJApnPVW5IYVtbajI0O0+lKYt2mWq6TeCnFYsBcI6DX6bKx\n1WVifIIoTikWXCrFGuVqmaXQwS8EGKuZnBlBSsX2TshW5xxJVmVzu0M7fpbxqUcRyaf57jee4mNP\nbuG5c1y+sgiFE9j+txmeO8C1hYS/+vKP+KVPP4EYCVB3e5QrBxieKnH13ArloX00uzdw/T6+qfK/\n/vOD/Nu//C7NZgPpwvDwXu44fJiiqDIxWQYHot4SHz51ijdX38DFR9QS+rHP1J5p9u0fxhd1ummZ\nZ1/uEa5NcmJ+EyM/zv69p7m03Sfa6XPv4f18kVd/6ty8r+JHW0NQq7Ld7TNUqSK9gFg5eFIhPZ8N\nKSkMNTDaELg+rZ0ms6OjpMpQrJVRnkeprjAiZebgHvxGA8ctEPhFHnrwQVqx5qXTFwn8Bv0wodvb\nQdKhXhHE9SqlwihJv8FQdS/lSo2r188TJU08bXD9Hr/w5M8xOj1EwTecfu5Vrl/ug3XRNibq7DBU\nqxIEPnsP7UUowT13n2D/nmlcoXDLNTJraTbbpGlGpVpFCEm308NxFEP1ap6loxyMYYAzG9QgLO/B\nhx5mdGyCldU1dpotuhcu4ipBGvXod9uUiyWcwGPuyD6MtqxuLKHjhHqlio4yTD/BeIZu2MJazdT0\nLNubq0T9kMmJEXrRLUv52zGEkDh+AaUcwv4Aj999uJHvgvbt3UeShmwsLbOxvUw3aRGKiP/zS3/M\n7/3uf0uqM77whS/gSC8PQbSGuBehEOydnObc5gZP//BHHD4wR7laZXVji9roMHEak9kYbVMa1QpL\n62tokxGGff7lH/4hhw4dwvNcgsBHCkvO4VX4pSInTtzJ1tY6s/sOcPHNKxQLAZ1enzTNUNpglQKl\nSI3hraXL3FhY454P3QHA9L7TuGkXP3GJ2i1sKAicAkb2kMLDDFrgiaxQqQ1hsjN86d/t4y/+5NZl\nEoYh9VoJbTUCiUDg+gFWCLQxSCXROsELCmhr8TyPsBdiTe5Q63sem+ub9Pu3r4sH4Ac+H//ER1la\nuIpOspwvhUVYSTMMWd3YYGNzE+FIer0efiHg8J6Z3HPFdXEcB+Xkjr2O7yCVQjr5zj9JsjxUd7DW\npVBYaXIFlwZFTkLWgOs6GNdBVYro1FK0gjTJUCr3h4nDECUEhWJhsA41UZRgXEWv3ydOInzlIARE\ncY/AK+G6Tr6+0Cgldlco3DRLZODm+//92Ho32fm9HJ+TKEUpxYk7T3DjRwu0Vps8/oFPcPHqyyRR\nilWSTpIRlC29TL8jUuTvOnK0JpfyW/Q7CLjtTpOCX0AJidGGBI0VBuk7pGmCkjJPdzcCa0DJAJ20\n8fx8bWf9DJkpssxQ8us4ppFHTKR5orvjG7QRWOtQ8BRZkkNeu+GjQooBD89idJZHKjgSIQuYzOau\nwMqgsxgl3Nxx2faxQpJqi6csoT5/62AzF6vLpOkmaQxZ6uT3JhUQRTFSupRKVUaGcx+oVKf0ej3S\nKAFjManGFYrM5MWiFHmYqhG7XT930NHj1v3N7hY79m2v3X7rCdjtLUHZKxIEAUm/zejYGIurb+Er\ni1QFdpptpkYKNBoNPDejMTZCGCcIkWFMk1KxmNs3m9w6wisENNc3adSHadQapJlG+D79OET0Uqr1\nGmGS4KaK185fY7UZ0kuvsN3qMFbzKRcUcnGNkflTgOKlF18l7bapN6qsb7R49bogs4InPv+zuPEm\nprdElLS564E2YbeF9B/Gkz+ge+VfMzx+EOozJOfajJZKnL10gXs7mvrkHayc+Tr18kECykwcqqCU\npVQokLY9Asdl354DQIC1giRuUixPMV06RCyf5zvfuc7YjOJHp7/O7OxBxsfHWWt3aa55bK/HOJ9o\nUC57NBcMQ/Ua691rwDhf+tIX+dXPHOTHf9riQMPi1d7btuB9FT+9KKYyNsXyW2vYYpkwhU5mSTod\nCkKgrEOrl0KqqVQa4Afo3iblcgPXKfD3n/wVvEoZXxocaenHhjDsEdkM5cG1qwvE0uHEyVO8/uoz\nfO2HX0YKy3htH/1uzMG5ozzz7EuEtseQW6M8HhNubhLGG9x56ijbvQ6h16QT7TAy5+JUXAqeS0H7\nnD/TBr+EURJLyn133MXRQ8cwriLRMSazhGGUJ9dWcldi5QgcT6EzjcliKoFDlKRkAkCRGYM2IITC\nK5Y4cvwY80cOkUQxp+69i7DT5aGTJ1hfXaRUKOBlGTPjI6TasP8zn+LM+YsIzyVMM4JylebONqaT\norOUlZVl4iRlcs8M7VaLTIvcFfU2Dc918XyJkJao2wNtMCZFWEvY7/HE5z/L6MgEUkjuufseesk8\nzaTJ1370PYSS/NP/5X/kiY9+ivtO3kPS7WCNoVGv0mpbkiRk5foCtXKVe+65l5HhvJgNShUq5TLf\n/M432NzY5L/+b/4JoYV+mEtZL19fYP/+gwTFAsVSAT8oEPU7uK6PMZo00bz08ovMzs7ieR4jIyOk\ncY+ws0Map7S7HTaWl0l6PXZaTVLrMDUzdvOY/7t/vMqv//oJ7r9zGWETlCqSmgQr/fyBjsAJFb7o\nkC2fRSY+xrvE558cuvkZxgiq1SrXFxcoFsqkWYLFsL61Sb/fZ3SowU63R9htglegLPLMsThJ8pBH\nY6nXR4CF2zaXkMNez7/wAlZlFFyfVtzDdT2QkmptmPmjx1Cei5CSsy++SNxso+WuQih3wpUD8zzl\n5/9njSXLEnr9LpVKFSVz80MrZa64EjmfQZHzcJwB76iThGysLDA6Mk6hHBBudSgUh3F9H60UpXLp\nHVCDEIJON3djlwp62qBNhu/7OZFbW2Zn97G2eJrcpS6HOXIILofM3s73yb+LHMyXedtO/52doDyA\nU71DBbb7ehAEJElC2I8IWyFZajm/sMiFxRW+feEseyfnUKUCL59/htGpOv20fxtnM/cxyguHdz6U\ncwsHTaYTHOEinZxvZAdEcEQMKIT1QQiM0biugzYSE2aYzEXi4XgpJh3mh9+Q1McdtO0iqJMkudxb\nCYdMRwiR5uc3P5vsdlQsKVZYtMlfTtPcHDZLwRMjYBOM0IPNS0ral/Q7a9z9McUv/MN7bx5Pkizj\neA5WWxxHEKkYz/eIdQccg0kTCn6AiVNWF5cpV4KbcKXOMrADCE7mwagai82dDt92OnfXwtsKXQm5\ndcOuB9BuUX17hwTmagWq9SrtdocsSxCtHtPTQ+xsdzk2f5zpqQZb29uMj1XQNkEqmGrU2dppkqQZ\nabOLEJbxsRFwXBzls7WZm97Oz0/w6tnr7DkyQrU8xNLiAlIpskzT7IdMThxi5oDli3/1AhdX+/z6\nz99NObuSRyelIYm0TFU8hobGSL2Anc0dTl+MmRpxMPEyd9zzKTIzSTD0TdKVbYri71Pa9yC9TouX\nnvlj7jnVQLkldG+LWnWKs+eXKIQaETzFhStVHjlVxpU9bFbi2NwUF5cWaXZbvHbZcu+eWTYzhVGG\nfjulubXMm8/3mNtf49XFJnemPl5Y586pMZaWl8hSh0OzFcqN40g9RK1S4fxKk5PuIRaTbZ4743Do\n8BpffXaekWKFZngF1irvOTfvq/gplSuE3Zikn7Cue0i/RCQFQ75HSRuGp2cZHxnFCTxWN5dwKkWK\n4+OM1fcjLWRpStxrkUR9XCtphRE77U2ybovW8iKBTjBhmxee/SEH9o1TqQq0zBUD2+ECP3huBS0l\n9RnB7HzA6mqK3x9ntbeKX6sjophGpUo3bhE4RV577TUO7NuLVIqjRw4xPHOMAwfnKLiGsutBmnuf\nSOFgMk0SxZS9AmgLGBzHxwiN53u4AsqFAN/T9OOYVJs8pykzaJPvLKQUeWBbwaNR8Fi6scDW+hp7\nJsdxlGK+XgedkWQZTmJ4+Nh+ImsRvo9VHu3uME+tr1MOfPqZwUpJq92lUqkhpMvy8tLf7Up82+j2\nuiRZTLPd5MbCKp7Jjd2SOGVudhZsSq8XE3b7JBKq1RFO//gVPCnRSmCFy1e/9w2+8b1v8tFHH+f+\nu+/lJy+9yOG5Obq9HllquPuee2m2mvzkh0/hKo/7HvwAvTDhnpMPcOGN87x15RqxdMmyjE//zGd5\n6exlgkIZzwv4B7/yq6yvrZBlBr9QptvvolyHYrFMksT4vs89J0/yr/+3P2R4aATpuAibEfVanDh6\nlExorr7xGis33uBXf+0/BeDU45/l6ZfWeeDUMK0bf0WtlvMZpMkfIAJLqmJQGh0XICjSjh7hK3+k\n+dXfGlwwjmJ9Y5t6fRiERWJ44aXnqdTrOF6AkD5ID9/1kUZhbYoXlPIMI5lzND7y8Z/j0sLtm8vd\nIYTFd30cx0FIiVIevu/j+4VcaWYtUglm9u3l2sWL3LzZC4Ejc9cT5XuIQcRJ3uUBYTKSqE+hVMnh\nDptLnRE5xCB2caYB21aKNM/6CVtkto/rOVgyrPVuwqlv52AopfA8nyiKENLgKBdrVa5eshahBCdO\n3MH6M3+dQxsoEApjB5JmkV97ux0SaXe/CzeLm58WYvq3Sd4zYowylFSNv/fZL/BX3/sql8I1sqDI\ngekxJqcPsNaMmS6MEcpe7kt1O4fNYxbe7kINOeenXCzhKgedWchyFa3KwSUgQ4sUa1yMTsBqtMh5\nOdZKrLJokyJkivAsblGSiT5G+djM4KsAQYoxMXGYIGSGEBoQSCm4hRjmxULOrcpVacZqvCAgjdso\n5WLTGOVJOjtNDpxY5Pf+0b1k+sckm1fwRvJP+Y3fnuVf/asf48njREmCJ6tkmSRLPfwiSF/iKJdG\nrYZyJY2hKhs2o5t02OUza2tyF2klyJQYdOF2zQ5vwbWDF/ICyA66h7uYojC33nMbh0DwwB37uXF9\nhcaJw8RRgtZthBMQI5iZLIEQ7DT7VIoljIXp2TGMTimVSmRGkMSGfr/LwvI6lWqZAwcmKFWKbG2u\ns3hjia7W7J2aYWqijjYJru+TdSKyOML6kv1j+/gvP/chVndarGxGbEuPVsthbkrj6ZClcIjEqZLG\nfY6c/Aj/88NFzr5ylWdfusLhT3yOTMzjiK8zd3Se7upF0tIvcOKDD3Ph9MtUT/wzTJTwxjf+gGPz\nQ1xZfY344ipebZLRqQqt7Q2ub8Vcf8PDc0qU/Emkv8OJmWmeevFN7rn/JA5Qa9Rp+MPc+8v/CZ2r\nb1LUp9k3NEcwv8o3n3qDYjDPWHyJG0sCIZeZmapy+ECVvihzZfE6WMXLr22zvLnNQyeHaHb6LNyo\nsveu956b91X8xFFEZ2uDidEG0unhFsrUqjVmh4cwYZ9+e4dPffZnGRkfxa+W0QocA9FWB6MTrArp\nrq4jehk2Ttno7dCKY3Q3xksVixeuMDHU4MUz5zi6b5zzL52nPFpieHYKHIjjiNGxUWp1h82tBTbX\nDXE4gu5r1q8tEvWbbGwuEe+sUfYqDDllnNgjzjJGDtQYGy1w7Mg+kl4PZQXCCjxHkBjIjKbqu3l7\nHwZW7OCrHNIpupZKqUBmcigj1TqHSWwuL820Jo1yMp8QijAT7J2d4fiRQ/zkmR+TpBGiNo1OEgpC\nMl7yURbCOKbTC+n3e9TKFe6Y20dlZJyL1xdR0tCo19nZ3MT1C4jbuDNRjsvWThsrfe7/wAeQyqVS\nqeTwhTGsrixz+fI1jh25AykEaao5dPgwxoB08nBSVXEI+yFf+943WFlf55OPfYyFpRUUgtnZWaRS\nrK6ssm/+IKtLS5Sr1TxJ2GY0hoaZmt7D1ZUVrIUHHniAq9eXKbsueybHkJiBjb7BikFqs5SDiA/B\npYsX6ff7KGB0qEGUatKoTaxTnnnmR2grmCqV8of0YOw5cJyFNxW4KY1GAyElWZoOUqnzYYMUgUvY\n7WP9/fzbvyhheVvnR1tWV9bYbG7x0P33E6ea0ZEplB/gBQHdbp+on1Kp1LBWIT1JmKTEvYjm5ha/\n9Eu/xNW3rpGkt9FFdjAcx0HgIFF5vpiS+J5HUaVEQhIAJovJXAlOgrBBLl0GjBB4jpNHGgwKHzVI\nCDfaoFONzlJcN3c+to66uR6tlAgyDE5OJjYgk5TVnTaVap1i0ABnII/ObmVDCZkDh7vkWakk2ztN\nJiYmcGOJ4yqazTZVt4Z1HBAyT2+QwAB2tLzNnPBtm/fdXsVu/MZu+vu7Iy0gV1e9mxTtSBedJmjP\n0BKGxtx+ulFKJ9qks7yBcMqMje2l3+2R9ZJBNMttGhZMlmFt7t/zdtJPqVQkTVNSY3GVlx+70Rjh\ngtBgM4zVoD20sUip0TrJIVABhjhXdqZH+NpXbuA4d2K0h7YSIRJSk4BJcRxJULAYqzA2Dyg22Jz3\nIwSOmxOK81OYB6kKochiS8GXtDtdSiWPra03+Uf/5FEmp8CkL5Ilm6jkVjZcr7eBI0FnBsdN6Pe6\npNLBUwFpJhFaESUZpXIF5UAYR2hryKwhzhIkHtpaMmFJJWSSgbGoHCyGW9d/XgS9+x46cAvnbzqF\n367JfOD+O6m6O5QrRaSyrC6tMDlZ5eryMo5TIIwTbJZRq5dAOnznOz/m4499CM8X6F5IueQT+IKd\nVo/trRZCreQbEyMJ/BIaQblYxA9cFIJSoUQcC0ZKJQSaKNZUKgFbrR7VkqBv9rN/xiWMM3r9PjMT\nDQ7PHaLd36QQ1PELdfaPDvP0udc4duIUSbNNec9RmgspGwtjFLJtGqMHOHbqt0EfxKrrFKzkRy+e\np9dLaKaGYX+UrL9By1hask77jXV6cRVfNSgVKtxY6fHAnYfJsiYmhU4Y4WXDpBQo1WaxIuX47DHa\nusmdRyT/5s9e4dc++zjXt24wWhK8tbjIjeVVKl4BlEMYpaRCcvc9d1ItrPL5T+zlf//iAlub763E\nfF/FTxT2+I1f/jw1R+FWDb7yqLsusiA4f+0C3/vOt0nlDiiPF576NlFzB79UJ9oR1IaKFIY7jJbK\nuKaCFZZyPeTNK9uUxsd59vRr1MenMWsbGB8ipWiFHrbjUYtciKqM1mqUvSKXzmwQRl16vYjpyQCb\nhLz89IsIA05sOH5wD63tmGIwRqaK7Nm7j1On7uLkfXP4hYA0rhKFCWHUwqYpJRQUPDyvjBIOrjvI\nkdEGL/CRjpMnmDuSwHWpVSrESYzGkqUpSuSGWlnBR0lJZjS2XiHLMpSUfPLTn8F1XcI4InBcRJYg\nw5Cd1VXKSUytkiKFIo5Dpj/0IL3M0mttUZ2bYWp6mnq1Sqotf3D1yt/5UtwdArhydYH9Bw5yMYoo\nlyuDB4Ph7Otn+Rf/4p9x9OAx7rvnPnrNPkW/gOcUcpmqzF1tE2lwq0XiXsIr51+nEBT4uQ8/Ttjq\nsLOzSWN4hJP33cfli+fZ3tqhUCrRj2OQAuXnacx+UCAzCkcU+cSjH+L+++5nZGKUjdVl4n4foxRW\nChwvwA0KjI2NUa2Wc8Mz4C/On+XSpUsUikWa64uMVEuMFnyqtTrD5RLVoHTzmL1KGZNa0vgbN4mt\n7ya/2rSOVJZavcNqmLKWegwVb0EPSjkUggBPBfSjjGK1ThhdQ6QpxjocOTjP5P1TTM/M0I1iwrjF\n6dNnOXbkKM3tLX7/938fVSoQRhG3cwSFgKPHjtHvdAnDvNuipERbTccq6teu8/qF51m+cZ3mRshj\nX/hlNprbOW9N5VJ1ISVqYIx0syC0gM1hqDzvSSGlQpo8iRuZdwGVFGgMeiBbT/sJnirQ3ukgaiW6\nnSYHZg6Qkbs4S2uwhoHiS3L+4oWb52Sr2aVRKTMyMkxjaAirM6TnDBK77SBs07B7+8qNFt/J+BnE\nOL0j/2t3vt/tncPb3Klvyvi1weiUH/zkeWr7JmhGPUpOhU5rh1gKkoUbdFo9StVhCuViDtHdpiEA\nqW0OPWaGNLlVKLeaMYWChytznorF4kibwyVGobUPGGKzQJxuY+mR6k1+7TcfQQ6XKNg7sGkP4dzH\nC6f/iKLrkhgH5UhsGuFZD9BYYelmMY50EUYPXMoNQnhIkau0EAHWKFzHJUtCBAptFf2oT7HQZ3zP\nAr/zew8ixLeRbJD2+7jCfwc/qmiryDBAeh6JCtEYarUSQdnHqhGUiEH3wQgym2KFJM4KtFsdUm1z\ng0nr5LzmLELoBCFddgFZdmGwQZaXuOlYlHfr7U1JfL6GbqOJPgCVSpkrb53Bnx4hziSu6zI2NsqL\nz73Auhzhvv2SOEq5trbDxMQEpYpmenqSq9eWSOKE+bl9BAVFnEgKgcHoHq+9/DpSuYyPN2hUi0iv\niE/M5kqPOI5yDpCTX9OtVo9KLaPV7jI20mCp1SLp9bn7kYe5vNLC8StkEjL6FKSgWK1x+doqe8cL\nXF9o4yifONri9//5De5099LILB/96EfY2ogQ177O5Ve/y/HHH0c5DTrpdXQ3Zmj0A2y+1WQ9hfXy\nJHFyg8Nzc1xZgqub62T9Pu2dIfYPtzjXmsBLoDRSYfbUR7HDx7EmYdQdZz3psnnDsrm9RSlw2Miq\nvHCpw4Pz4G9qLt3Y4FOfeJS1TU23eYM907MsLQvmHypz5S244/A0jlp5z7l5X8WPEoKTc3tI3QRh\nHNJOm153ke3rb5B2N3jk5CjPv/hVMinY7G2DMrSXNSsXI0aqdcZG+oyPF/GDYWRQ4cLCBTw1yoc+\nuJe2VRSKRRq1CQruZYZrFY6fOI4rJZ522VN2KAZFsgxSHNwAnCxCphUOzEzR7bZwlcIBCpVhDsyN\ns392lvm5A3iBh+NI0m5Ee6tJFqdkWUYSx/lO1XEoKYVUERZBCMS7NxzPh1zrAspBey6+H4DRCGvw\nLOgsyz0wjCY1BlTuF7ILpmRGowHhSKzKCX1uqcj4wXmSNHdzdgIXSX6zy6zluy88S71a5IP3n6S5\ntELBwHC5/B4z8/5HpVxkz9Q4V9+6SimQeI4iimOEgCRJGB8f59jxo2ht8L3dG7tESRdjNVJZ3AE0\n4ToegeewtHKNNy+8xszYGAvXdpg7dJzvPvV97jlxJ4v+Ss5PSPIHUZqleH7A5OQkjuOxtboFcZeC\nazn3ymnOX34TbeUgpRke+cijnH7heVxXcf3aW8wdOMD3v/99Dh09wv79+3GF4vIZiQ07HN67D+V4\neEPD6ORWkXH2pVe5/NJT2F/sY1VuY/zu4ieQ3cFNUVCqdij4LXxx9B3/UyxXiJfXqNQbHJrby333\n3A+O5MKFC7z2ysucefk01eFhKo0hgsBDC8X/85V/z8MPnmJ6aprNqHvb2QW9bpenf/ADpAbPH3Rw\nfJfAL1CemOTqt79MrR4w7caUKwmlgsd2R930I9o9F4JbnZ9bie0AFq1TrHUR1smT6Qd/cYRE2Nzk\nzhqLFwSoyEVnhnKphuP4ZLrPTruFTTKqlUoeTmptru7CMrNnLytrK/h+kSRNaXY7COWgsQgM29tb\nRHFMkiRIpTDv4sLsdn2sGKi9hLhZAOUg9qCoeJuXz833/pSiyGQZrutycH6ey5tL1IdqXD13EWMt\nhUKJSrWE4ygKvoPrWJLk9hWzdgDnJXGKEg4F95ZisVErEScOcRrhyTiHoXSGijCsDQAAIABJREFU\n6/po42FZ5pO/OM78iX3UJx4ZHHVKmmzm0KOcRfgJNunyP/wfv8vi5RaXr0T8uy9+jwNDD+GkIKxL\nlGlwcy6Y0hKTapTjkcZ9cBWWKlLkHXAlIc0EnlsizZZ5/BeGKfhrPPxIjX77W7gyJ1lLSmAzhLgl\nP95/dIN7Hqrw0mmDcXy0FDiuR5pCt7tFlGzgyQwncTE2wzr2pvO2yTIc5efXa5Zi0hRpNcKoQdWb\nc8OEkLmSMwd2yaHZPJ/SYAb/q8m7PxZ7GztAvq+4/+4jfPnLT1Gt1eh3+kzPjNKY2sMPvvcij971\nc7z84rfZ7mm6kabSKHNgfo6o12V6copup8OPnnmFO44fYnx8jPbOBuXSPBZFv9tlq9Xn+Nwci6sb\n7Jkc4fDR42xsbYFQZChcP6Df7xMEAVGccePqGp/79IdptvvUR2v4BfDcClIV0NU67VYPKWNWNw13\nH78LJVOibkScNHBLAXHa5YWvfZF9p57ka9/9CQ/vuYtv/Zuv8sbWCvumR/n+Cnz3K5dZazTol1wq\nvS287gxfu3iVxx9+gPpSQles49WPs5r1efPia3SdCjq1MPI4wkSIIcHP3PMAf/LnT3F4Zg9hu04W\ntVFulchAq+/hdUIW11Kef32Jra1tms0Uv1rg4o+36fYm6UWan7k349VXG7wXv/J9BpuCoxSu55Om\nhtJQlU5Q4Zk3FnjpteepDY0hZJFuL2JjYxOjQJSHud5pEToOrWaXVd1mbLwAieDy+jZ1X/BrX3iC\nveOHwAYYFC88/zS/8xu/Tq+1SaXo02vmBYtwFEYKio067U6Hfr/P8o1lqn6d8dHRfPemY4QxOFIi\njCFa20RbgY1THClJkxSrNSbLEFrjANJ1iAMXqRRKOQP/myi/8fv5TTCTgtBGCARBENz0CZFC5Bb7\n2pBnE+UqMKMNYpdMOTAec4wlzHJn2czzcq6CyAGDVAhwFcZzEUrxy0/+EvWhBiW/gDOU0t/e/lud\na9/vkFKytb7K1//9V2luL7FwY5Pf+e3fxUwblJLUqxW2t7eJwxChJFmm8yInKNBPu6Rpiu86ODLf\nVaVZxubmOnHa5+KFc8Spw0el4tS9pzh75lVKpbwDk2Uaz/MolyqkSYKVDs3mDr1ui9m9M7z11hWu\nXr9GMQiY2XeAZqeP1YY0S7njjju4dOmNvKDRGe2dbaJ6Ga0No6Nj1Btj4BcQKqBSqxN5BjcYvnnM\nd981zqc/ehgvuED2HiiFsAYj3MHuu4yni6TmljLrrrvuYnxyjJ/5zM/z0ksv8eqZVzlz5gw3VpeZ\nPzjH3skparUqSWao1qs5WdtGTO87gOf7FIplRK9327mVAoHUgLH0w4gkiUi1ZnR8nEnh81Zoeeon\nz3Jw3yz3f/QRnKCM6zbfQQhWSiFVDg/scnN2i0NrTe4NlWYoJycdWysQIvfNscaAyaXqmcnItMZa\nRbvVZaY6QaIduv0OWZph1y0z4xP5e7Kcj1qplLFigrW1DZIkxfOcAXFZgZRMTE3cvO52ScBiUBjf\n7NgMCiApJdrmaedW53AN9lZn6N0F0NsJ0fmxWqTrYrRmrD7E1dUFes1tOq0m0ho8X1H0PIQwRGGb\nfpzL9G/nsIP7iJTvJO/2ei2EqMMgvkFKgVQOSZpg5Q5js5vc99gIhkWgjTV5Zp7jDoO1OVEagfQE\nJJeZns+YmptleOQx/uqPzuCwB1fVkMJDiYx+t08tKJPpjDiJcLwUhCYJSxQrJXwnw3EtThISxluM\nz2zx4CM+xuyQZCsUCiV07AwgUvN290EARvY2mT0U8PRP+lhhQILrK/xCEVHMUGEBD5CRIslijEmx\nJJAlhL0u0lcgfayygwInz/XaTbWxSKRwcrK7zQsbKVROmrd5d02IfK3eKpNv3yiXisTdHZ783GOc\nf/0iUxNTPPfS6xjhIBJN2O4xWq8SlCRRFNLtebTaKSNDdQySoFzk/vvvJ056nHvjEpOTY2w1N5ma\nnCKNQ7bCkD17Jjl75hXKnmV4cha/EGMdzeryGhMjQ7iOQnkua1ubVMo+UvfYbEbsm5nAWI2jUvq9\nLTI8+u2Q7cTQ3G4xO17jqa9/hQfuPMmYzCBtgetw190fpGe79GOPpX6XiDz8tDpapxsvU5o5zOby\nIkl3geKeOc5dWMamZSqVGnF4kaBQ5JULSywvrjE5WyLOOlxefh2bLJJsW5763l9zcnQaoeuEjsdm\n1EPVHDZ2uiA1YSYQgU+/Z1BC4/s+B47swfoe0wdKLNwQTE5uEdkSm7cL9rLkQYKOzgg8By01P3r2\nVZ5+4zKtVHH1+jozY/tYuLqBZyRJHOOVYyaHZgicgK2NJvtmj7N2o8VIvcpsaT+1eh1PK8LtFlKE\ntFcX+dwnPkZ7aZFawSdZ2yZptXP5q3JwCj7dxTUc5VDWkqMTe0jClLS5jdUZYRTmPAaza3glSLAw\nkDwakz98rQPSc3E9D60HNvE2h82NhhRFmmg8DCQJOk5yK37Ppd/v55+lMwTgKhetU4Q1aGtRjsr5\nEhgynWGszWMjZN4+TtMMEYV5AWUt7XaLOEkBS9F3qdXqZJmhtbqFxeC5Tk4avY3FT7PZZGl1jfse\nfJBvffMvqVQqlEulHKpTCixcuHCBj3z4MZxSEWtyAu3U1AxXF99ECpdaWSGkZK3TJzUaRyquL69w\nYt88I0OTCCtRwmVyaoZXXnmRA/MH8XyPVism7IdcvnyZ64uLjI1P0Fzb4ELcp1wtMTRcZ3V9nYvn\nzrK6vsknP/lzuYRX5ATPfq+DFJb5uf0oBFsb2+zZcwC3VkfVKmzECcubLWYmxwimbmW+bS6GDBe2\nyKoVED9dam5smUxKlI2x5NbvUTJ/8+9/8id/wsy+GaojIwSOS6NUoFSu8uAH5omTGK9UI9NdfE9x\n7cYyRc9DuUWU55Nqw8T4BLV6g6dvYxdvd3S7XYaGRymXCjn+7zi4jkfPtHEqBR7/1L387KMf5+pO\njHVyOXwcxzc7H3mxw4DIrBCSm69ba3EEZFmKTGMk4qZT79s5NNZqMjJanSZ+ZYyDRw/z1vVVhJdi\n3bwwav6/rL15sKbXXd/5OcuzvNt973v323urN7VarbVbckvWamMbrzEGxgEGKiSETKBICANDJgEq\nzCSVTDFMwYwJYIwdM5gKxRJsA7K8SLIlS61d6k1L73ff77s/2zln/jhvX8lgU2PSp6qrb9331r3P\nes7vfH/fpdNiqFajHEbgDNJJrDVU4phD+29A6IF9hrOea+IgDEuYAQfsWvbW3xxCCKwYMDjcgMEx\nQH+QYoDG/u24g283rJcOEQrJwe27+cbZ5xiul8B6T6jmxhJJNyXPLfuO3sr19Kx0zlGY3N8LG5K/\nLVg3jmMy06HILcqGmMJiRUGrc5V//9t3o2sj4PpghnAUgEHrIWyRIoMU5TLyQhCJDgQ5zuYgL3D0\nTs3Ro7fwyOcsT39jFhGMstlbRQFZ4blFxuboAPrpJkFssS5HyQCwdNNTPPBwle/5cIyQp3G0USai\nKHIUFiH6OFGAU2DfUuAINYrpZwinKUyTQEmUE2RZj8yAo0xaWMLA4YRvAQqtkIEmyXqEQeRBREJw\nEpf7zdg1Dpi4VsxIAdZn/jnACeeNIfHHJAY40PUenW6fp158neN33ktQGkZGJUa2TXD54iJ7JydY\nurrM1PgYtcKitWLm6jKjo+Ocfe0iu/dsZ3JymOWVRer1KvsOHiDJMjqZ46tPPMmD7zzOxlKHyvoa\nN998hCTZoJfkIAKMKdi39wZskdLa3KBRmkKqgN2TkouvPUOnZxndsZuR8RoXzr7E6Y11jLa0WpLH\n30gpCcWPfv99/MRP/At0PMVPf8TxzJN/zYUrGxQju3nyT38bomE6ssFMZ4lqNMLFmSUePL6LqZuP\n8T3TY1g9yrmlCU5depz6sOTFc1cReeE3PSLj4txlmuzk4PY9zCxf4swX/4yLswt84SsnyU7sYb6T\nM3eliljL6AV9ZueWqUQVrjQTssUOje3TrLQThhvD7N0+QZL2mZubQ5ZGsUzytZMbLG58Z0T2u3N4\n1opPfeYz/PN/9A/JrWNmZoFnn3iJZKmgGjYYDcoMtYaZ3rkDYR2jjTpDKkLqIaI4RuocrRzBnghp\nQGCQcUA+m7CSz2Ks5dY9h8iKjMvnzkOR+2Q7qxHOG7kZLXFa4pwnS+IcmU2R2qsCypWY8lCdKAox\nuSNJ+tTjEtVyhfWNDfI8Z21tDeMsWmvC0HMeKMAMpOR57vkNxhjvdyIkOgoAhUVtZdoAYB19myCE\nxQ58UFyek9vkLX8JfJp2ZK+5nXpzstzl3lDNRZSjGKcFpeEawsFYvYYzll6vS2JyrFIU1xEuKKzj\n8Se+Sj/pE5QbxHmBVRqhfEtKCO1bIkJg8gIpBcpZfuof/xT/4f/4d6xtXqG5nBGUY+JQeYkpsGP3\nHpzR1IYbFC5DhyEilOgwZHS4ztzsEsYoLl66BKZg5+6dXJq9TH91jSLrstkLiAiJCbjpHcdpd3LK\nQYVsIKuVQcjuPXsolWJGGsO01japjYyw0O2hdYltU2OsFC3MwjI10WLjiSfgHZ7yP7/aYWLbDpR7\nDCsESkGWldkK51TgogRhDaofEZYivvHcq/Q2LnHfwycA2HfkRoJIMzc/y4H9B+gUlrhcwxQwVBtH\nEBCGPqzz1lvvoBoqrsxcpbOxTEkV3HHbEV49/eq38Diux5BSsn3HdmQQEMUhUvuMvVI5ploZ4pKM\n2FudIhiq0ZrrMCJj2nFB5oxHLq1Fab0VmRAGMc5atA5wOG8Vp8OtCBQdGI+wihJSOiD2yiAMsVLo\nSki33WJ5aQ3jDL2NDpX6EE5IbCC4uDzPnumdjJUqFM5SiWJ63T4LS6sUEgIM2yfHUKrkk+OFJ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lub/d/2fwBxzXyOSayMXcd8c9nFt5jZlL50hElXarR61aQarrrJF2A+5PkXvS82CMjo7SbOek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o0RWJMyGs6JKs+KX0X0Be1uQo3kJCm29hSTGdXccTAbcfbkKaaTGa20i7eGsphg3JxO2kLo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\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GFZOxXkBYAtoURdHYJRVVXefhHO1B+vcQicd/DzWMQ6pgPzDm3cVRFL7Tlev7uGwZj1NC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\nQYq7hQPzB78AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 720x288 with 10 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6Ayu6kDd0mk8",
        "colab_type": "text"
      },
      "source": [
        "## 9.7 单发多框检测 ( SSD )"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kE42GQUk1BLX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%matplotlib inline \n",
        "import d2lzh as d2l \n",
        "from mxnet import autograd, contrib, gluon, image, init, nd \n",
        "from mxnet.gluon import loss as gloss, nn \n",
        "import time \n",
        "\n",
        "def cls_predictor(num_anchors, num_classes):\n",
        "    return nn.Conv2D(num_anchors * (num_classes + 1), kernel_size=3, padding=1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "djZ1XTXoCzXy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def bbox_predictor(num_anchors):\n",
        "    return nn.Conv2D(num_anchors * 4, kernel_size=3, padding=1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1OtSxcDEDCo-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "5bc89578-df43-4d1f-f966-9919a2aa77dd"
      },
      "source": [
        "def forward(x, block):\n",
        "    block.initialize()\n",
        "    return block(x)\n",
        "\n",
        "Y1 = forward(nd.zeros((2, 8, 20, 20)), cls_predictor(5, 10))\n",
        "Y2 = forward(nd.zeros((2, 16, 10, 10)), cls_predictor(3, 10))\n",
        "(Y1.shape, Y2.shape)"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((2, 55, 20, 20), (2, 33, 10, 10))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qhwZ4Wi3D2gC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def flatten_pred(pred):\n",
        "    return pred.transpose((0, 2, 3, 1)).flatten()\n",
        "\n",
        "def concat_preds(preds):\n",
        "    return nd.concat(*[flatten_pred(p) for p in preds], dim=1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eUZm0HwDEdum",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "8ce3d8aa-6477-4e04-8da7-9fa22710b727"
      },
      "source": [
        "concat_preds([Y1, Y2]).shape "
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 25300)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N3vfHmkUEjSI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def down_sample_blk(num_channels):\n",
        "    blk = nn.Sequential()\n",
        "    for _ in range(2):\n",
        "        blk.add(nn.Conv2D(num_channels, kernel_size=3, padding=1), \n",
        "            nn.BatchNorm(in_channels=num_channels), \n",
        "            nn.Activation('relu'))\n",
        "    blk.add(nn.MaxPool2D(2))\n",
        "    return blk "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1L4zJElKFeJ-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "bf6b85b7-9d8d-4989-9967-6b983dde4a50"
      },
      "source": [
        "forward(nd.zeros((2, 3, 20, 20)), down_sample_blk(10)).shape "
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 10, 10, 10)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q-ebuubGFr5Q",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "cc8b5cc8-6666-4667-d180-b3bd8d92db4b"
      },
      "source": [
        "def base_net():\n",
        "    blk = nn.Sequential()\n",
        "    for num_filters in [16, 32, 64]:\n",
        "        blk.add(down_sample_blk(num_filters))\n",
        "    return blk \n",
        "\n",
        "forward(nd.zeros((2, 3, 256, 256)), base_net()).shape "
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 64, 32, 32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7fRQgAcSGQHv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def get_blk(i):\n",
        "    if i == 0:\n",
        "        blk = base_net()\n",
        "    elif i == 4:\n",
        "        blk = nn.GlobalMaxPool2D()\n",
        "    else:\n",
        "        blk = down_sample_blk(128)\n",
        "    return blk "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bfzsHhLVHAoi",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def blk_forward(X, blk, size, ratio, cls_predictor, bbox_predictor):\n",
        "    Y = blk(X)\n",
        "    anchors = contrib.ndarray.MultiBoxPrior(Y, sizes=size, ratios=ratio)\n",
        "    cls_preds = cls_predictor(Y)\n",
        "    bbox_preds = bbox_predictor(Y)\n",
        "    return (Y, anchors, cls_preds, bbox_preds)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_msxb4zIHneP",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "sizes = [[0.2, 0.272], [0.37, 0.447], [0.54, 0.619], [0.71, 0.79], [0.88, 0.961]]\n",
        "ratios = [[1, 2, 0.5]] * 5 \n",
        "num_anchors = len(sizes[0]) + len(ratios[0]) - 1 "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "exiy69awISKG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class TinySSD(nn.Block):\n",
        "    def __init__(self, num_classes, **kwargs):\n",
        "        super(TinySSD, self).__init__(**kwargs)\n",
        "        self.num_classes = num_classes \n",
        "        for i in range(5):\n",
        "            setattr(self, 'blk_%d' % i, get_blk(i))\n",
        "            setattr(self, 'cls_%d' % i, cls_predictor(num_anchors, num_classes))\n",
        "            setattr(self, 'bbox_%d' % i, bbox_predictor(num_anchors))\n",
        "\n",
        "    def forward(self, X):\n",
        "        anchors, cls_preds, bbox_preds = [None] * 5, [None] * 5, [None] * 5 \n",
        "        for i in range(5):\n",
        "            X, anchors[i], cls_preds[i], bbox_preds[i] = blk_forward(\n",
        "                X, getattr(self, 'blk_%d' % i), sizes[i], ratios[i], \n",
        "                getattr(self, 'cls_%d' % i), getattr(self, 'bbox_%d' % i))\n",
        "\n",
        "        return (nd.concat(*anchors, dim=1), \n",
        "            concat_preds(cls_preds).reshape((0, -1, self.num_classes + 1)), \n",
        "            concat_preds(bbox_preds))\n",
        "            "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hHoqub_vLni-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "4ab5bdbc-d310-4a20-d9bd-7877188d00e9"
      },
      "source": [
        "net = TinySSD(num_classes=1)\n",
        "net.initialize()\n",
        "X = nd.zeros((32, 3, 256, 256))\n",
        "anchors, cls_preds, bbox_preds = net(X)\n",
        "\n",
        "print('output anchors:', anchors.shape)\n",
        "print('output class preds:', cls_preds.shape)\n",
        "print('output bbox preds:', bbox_preds.shape)"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "output anchors: (1, 5444, 4)\n",
            "output class preds: (32, 5444, 2)\n",
            "output bbox preds: (32, 21776)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JvrSOuoLMTgn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "batch_size = 32 \n",
        "train_iter, _ = d2l.load_data_pikachu(batch_size)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ocUGM-roP-Vm",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "ctx, net = d2l.try_gpu(), TinySSD(num_classes=1)\n",
        "net.initialize(init=init.Xavier(), ctx=ctx)\n",
        "trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate':0.2, 'wd': 5e-4})"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5tS3waG5QaH1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "cls_loss = gloss.SoftmaxCrossEntropyLoss()\n",
        "bbox_loss = gloss.L1Loss()\n",
        "\n",
        "def calc_loss(cls_preds, cls_labels, bbox_preds, bbox_labels, bbox_masks):\n",
        "    cls = cls_loss(cls_preds, cls_labels)\n",
        "    bbox = bbox_loss(bbox_preds * bbox_masks, bbox_labels * bbox_masks)\n",
        "    return cls + bbox "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d_uXBA0fkeUx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def cls_eval(cls_preds, cls_labels):\n",
        "    return (cls_preds.argmax(axis=-1) == cls_labels).sum().asscalar()\n",
        "def bbox_eval(bbox_preds, bbox_labels, bbox_masks):\n",
        "    return ((bbox_labels - bbox_preds) * bbox_masks).abs().sum().asscalar()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XtOxU_DblcRb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "outputId": "5abc6dda-8ced-467f-8966-961b74fa9024"
      },
      "source": [
        "for epoch in range(20):\n",
        "    acc_sum, mae_sum, n, m = 0.0, 0.0, 0, 0\n",
        "    train_iter.reset()\n",
        "    start = time.time()\n",
        "    for batch in train_iter:\n",
        "        X = batch.data[0].as_in_context(ctx)\n",
        "        Y = batch.label[0].as_in_context(ctx)\n",
        "        with autograd.record():\n",
        "            anchors, cls_preds, bbox_preds = net(X)\n",
        "            bbox_labels, bbox_masks, cls_labels = contrib.nd.MultiBoxTarget(\n",
        "                anchors, Y, cls_preds.transpose((0, 2, 1)))\n",
        "            l = calc_loss(cls_preds, cls_labels, bbox_preds, bbox_labels, bbox_masks)\n",
        "        l.backward()\n",
        "        trainer.step(batch_size)\n",
        "        acc_sum += cls_eval(cls_preds, cls_labels)\n",
        "        n += cls_labels.size \n",
        "        mae_sum += bbox_eval(bbox_preds, bbox_labels, bbox_masks)\n",
        "        m += bbox_labels.size \n",
        "\n",
        "    if (epoch + 1) % 1 == 0:\n",
        "        print('epoch %2d, class err %.2e, bbox mae %.2e, time %.1f sec' % (\n",
        "            epoch + 1, 1 - acc_sum / n, mae_sum / m, time.time() - start\n",
        "        ))\n",
        "            "
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "epoch  1, class err 3.22e-03, bbox mae 3.55e-03, time 11.3 sec\n",
            "epoch  2, class err 3.08e-03, bbox mae 3.30e-03, time 11.2 sec\n",
            "epoch  3, class err 3.12e-03, bbox mae 3.24e-03, time 11.2 sec\n",
            "epoch  4, class err 3.06e-03, bbox mae 3.17e-03, time 11.1 sec\n",
            "epoch  5, class err 2.98e-03, bbox mae 3.00e-03, time 11.3 sec\n",
            "epoch  6, class err 2.87e-03, bbox mae 3.01e-03, time 11.2 sec\n",
            "epoch  7, class err 2.94e-03, bbox mae 3.03e-03, time 11.2 sec\n",
            "epoch  8, class err 2.68e-03, bbox mae 2.90e-03, time 11.3 sec\n",
            "epoch  9, class err 2.68e-03, bbox mae 2.79e-03, time 11.2 sec\n",
            "epoch 10, class err 2.72e-03, bbox mae 2.88e-03, time 11.2 sec\n",
            "epoch 11, class err 2.61e-03, bbox mae 2.78e-03, time 11.3 sec\n",
            "epoch 12, class err 2.78e-03, bbox mae 2.82e-03, time 11.2 sec\n",
            "epoch 13, class err 2.74e-03, bbox mae 2.83e-03, time 11.2 sec\n",
            "epoch 14, class err 2.67e-03, bbox mae 2.77e-03, time 11.2 sec\n",
            "epoch 15, class err 2.57e-03, bbox mae 2.69e-03, time 11.2 sec\n",
            "epoch 16, class err 2.61e-03, bbox mae 2.72e-03, time 11.2 sec\n",
            "epoch 17, class err 2.54e-03, bbox mae 2.63e-03, time 11.1 sec\n",
            "epoch 18, class err 2.53e-03, bbox mae 2.65e-03, time 11.2 sec\n",
            "epoch 19, class err 2.54e-03, bbox mae 2.56e-03, time 11.2 sec\n",
            "epoch 20, class err 2.60e-03, bbox mae 2.61e-03, time 11.2 sec\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dcuzS4q3MHZb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 140
        },
        "outputId": "f7872434-ed62-480d-dfed-81fb68f259f5"
      },
      "source": [
        "!git clone https://github.com/d2l-ai/d2l-zh.git"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'd2l-zh'...\n",
            "remote: Enumerating objects: 17, done.\u001b[K\n",
            "remote: Counting objects: 100% (17/17), done.\u001b[K\n",
            "remote: Compressing objects: 100% (13/13), done.\u001b[K\n",
            "remote: Total 15702 (delta 9), reused 8 (delta 4), pack-reused 15685\u001b[K\n",
            "Receiving objects: 100% (15702/15702), 159.56 MiB | 13.92 MiB/s, done.\n",
            "Resolving deltas: 100% (11132/11132), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jqzZYfFCMp1Z",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!mkdir ../img"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EoG8lpJWMUoP",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!cp ./d2l-zh/img/pikachu.jpg ../img/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FJ7KLWhbqzjB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "img = image.imread('../img/pikachu.jpg')\n",
        "feature = image.imresize(img, 256, 256).astype('float32')\n",
        "X = feature.transpose((2, 0, 1)).expand_dims(axis=0)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XxwuEJxfL-wF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def predict(X):\n",
        "    anchors, cls_preds, bbox_preds = net(X.as_in_context(ctx))\n",
        "    cls_probs = cls_preds.softmax().transpose((0, 2, 1))\n",
        "    output = contrib.nd.MultiBoxDetection(cls_probs, bbox_preds, anchors)\n",
        "    idx = [i for i, row in enumerate(output[0]) if row[0].asscalar() != -1]\n",
        "    return output[0, idx]\n",
        "\n",
        "output = predict(X)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B_okgWUdOQe1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        },
        "outputId": "ff9f7dcf-3b4e-4c2b-cdaf-d3f3470bd132"
      },
      "source": [
        "d2l.set_figsize((5, 5))\n",
        "\n",
        "def display(img, output, threshold):\n",
        "    fig = d2l.plt.imshow(img.asnumpy())\n",
        "    for row in output:\n",
        "        score = row[1].asscalar()\n",
        "        if score < threshold:\n",
        "            continue \n",
        "        h, w = img.shape[0:2]\n",
        "        bbox = [row[2:6] * nd.array((w, h, w, h), ctx=row.context)]\n",
        "        d2l.show_bboxes(fig.axes, bbox, '%.2f' % score, 'w')\n",
        "\n",
        "display(img, output, threshold=0.3)"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
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          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_Zj5jF8RPL8Q",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 242
        },
        "outputId": "41003938-1302-4cb5-953b-3c1462bbd827"
      },
      "source": [
        "sigmas = [10, 1, 0.5]\n",
        "lines = ['-', '--', '-.']\n",
        "x = nd.arange(-2, 2, 0.1)\n",
        "d2l.set_figsize()\n",
        "\n",
        "for l, s in zip(lines, sigmas):\n",
        "    y = nd.smooth_l1(x, scalar=s)\n",
        "    d2l.plt.plot(x.asnumpy(), y.asnumpy(), l, label='sigma=%.1f' % s)\n",
        "d2l.plt.legend();"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 252x180 with 1 Axes>"
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          "metadata": {
            "tags": []
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        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EYVmel4EQlKB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 242
        },
        "outputId": "706cd536-1878-4fb9-a924-ccd1ad106476"
      },
      "source": [
        "def focal_loss(gamma, x):\n",
        "    return -(1 - x) ** gamma * x.log()\n",
        "\n",
        "x = nd.arange(0.01, 1, 0.01)\n",
        "for l, gamma in zip(lines, [0, 1, 5]):\n",
        "    y = d2l.plt.plot(x.asnumpy(), focal_loss(gamma, x).asnumpy(), l, label='gamma=%.1f' % gamma)\n",
        "d2l.plt.legend();"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6vgVGg1jRIPR",
        "colab_type": "text"
      },
      "source": [
        "## 9.8 区域卷积神经网络 ( R-CNN ) 系列"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4O9n8qHFYEXU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        },
        "outputId": "d3bc85e9-0c7e-40ac-b68a-83af6bb8ef88"
      },
      "source": [
        "from mxnet import nd \n",
        "\n",
        "X = nd.arange(16).reshape((1, 1, 4, 4))\n",
        "X"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\n",
              "[[[[ 0.  1.  2.  3.]\n",
              "   [ 4.  5.  6.  7.]\n",
              "   [ 8.  9. 10. 11.]\n",
              "   [12. 13. 14. 15.]]]]\n",
              "<NDArray 1x1x4x4 @cpu(0)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SKMslanIbLo1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "rois = nd.array([[0, 0, 0, 20, 20], [0, 0, 10, 30, 30]])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c-PCAUoAbmus",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 158
        },
        "outputId": "55e66aee-15ed-49f8-b35a-f92907fa1e00"
      },
      "source": [
        "nd.ROIPooling(X, rois, pooled_size=(2, 2), spatial_scale=0.1)"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\n",
              "[[[[ 5.  6.]\n",
              "   [ 9. 10.]]]\n",
              "\n",
              "\n",
              " [[[ 9. 11.]\n",
              "   [13. 15.]]]]\n",
              "<NDArray 2x1x2x2 @cpu(0)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j0t87S85b4Ti",
        "colab_type": "text"
      },
      "source": [
        "## 9.9 语义分割和数据集"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f-gKVLafmM1l",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%matplotlib inline \n",
        "import d2lzh as d2l \n",
        "from mxnet import gluon, image, nd \n",
        "from mxnet.gluon import data as gdata, utils as gutils \n",
        "import os \n",
        "import sys \n",
        "import tarfile "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0Vbi89B9m5BM",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "outputId": "1d2025fb-4d97-4d00-aeb8-a8b4c5a6b007"
      },
      "source": [
        "def download_voc_pascal(data_dir='../data'):\n",
        "    voc_dir = os.path.join(data_dir, 'VOCdevkit/VOC2012')\n",
        "    url = ('http://host.robots.ox.ac.uk/pascal/VOC/voc2012'\n",
        "           '/VOCtrainval_11-May-2012.tar')\n",
        "    sha1 = '4e443f8a2eca6b1dac8a6c57641b67dd40621a49'\n",
        "    fname = gutils.download(url, data_dir, sha1_hash=sha1)\n",
        "    with tarfile.open(fname, 'r') as f:\n",
        "        f.extractall(data_dir)\n",
        "    return voc_dir\n",
        "\n",
        "voc_dir = download_voc_pascal()"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading ../data/VOCtrainval_11-May-2012.tar from http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar...\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H2CvxXFEyEim",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def read_voc_images(root=voc_dir, is_train=True):\n",
        "    txt_fname = '%s/ImageSets/Segmentation/%s' % (\n",
        "        root, 'train.txt' if is_train else 'val.txt')\n",
        "    with open(txt_fname, 'r') as f:\n",
        "        images = f.read().split()\n",
        "    features, labels = [None] * len(images), [None] * len(images)\n",
        "    for i, fname in enumerate(images):\n",
        "        features[i] = image.imread('%s/JPEGImages/%s.jpg' % (root, fname))\n",
        "        labels[i] = image.imread(\n",
        "            '%s/SegmentationClass/%s.png' % (root, fname))\n",
        "    return features, labels\n",
        "\n",
        "train_features, train_labels = read_voc_images()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lZAWKb8zJ6Fr",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "outputId": "ba48132a-2f35-4f38-cd15-81ae61fe51c6"
      },
      "source": [
        "n = 5\n",
        "imgs = train_features[0:n] + train_labels[0:n]\n",
        "d2l.show_images(imgs, 2, n);"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x288 with 10 Axes>"
            ],
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          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VSyroUtnKRAO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "VOC_COLORMAP = [[0, 0, 0], [128, 0, 0], [0, 128, 0], [128, 128, 0],\n",
        "                [0, 0, 128], [128, 0, 128], [0, 128, 128], [128, 128, 128],\n",
        "                [64, 0, 0], [192, 0, 0], [64, 128, 0], [192, 128, 0],\n",
        "                [64, 0, 128], [192, 0, 128], [64, 128, 128], [192, 128, 128],\n",
        "                [0, 64, 0], [128, 64, 0], [0, 192, 0], [128, 192, 0],\n",
        "                [0, 64, 128]]\n",
        "\n",
        "VOC_CLASSES = ['background', 'aeroplane', 'bicycle', 'bird', 'boat',\n",
        "               'bottle', 'bus', 'car', 'cat', 'chair', 'cow',\n",
        "               'diningtable', 'dog', 'horse', 'motorbike', 'person',\n",
        "               'potted plant', 'sheep', 'sofa', 'train', 'tv/monitor']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dXvE2cyqS2LS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "colormap2label = nd.zeros(256 ** 3)\n",
        "for i, colormap in enumerate(VOC_COLORMAP):\n",
        "    colormap2label[(colormap[0] * 256 + colormap[1]) * 256 + colormap[2]] = i \n",
        "\n",
        "def voc_label_indices(colormap, colormap2label):\n",
        "    colormap = colormap.astype('int32')\n",
        "    idx = ((colormap[:, :, 0] * 256 + colormap[:, :, 1]) * 256 + colormap[:, :, 2])\n",
        "    return colormap2label[idx]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0I25VVtVUWpo",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 228
        },
        "outputId": "c33a9021-a67f-4eb5-8474-cf8de4c8097c"
      },
      "source": [
        "y = voc_label_indices(train_labels[0], colormap2label)\n",
        "y[105:115, 130:140], VOC_CLASSES[1]"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(\n",
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              "  [0. 0. 0. 0. 0. 0. 0. 0. 1. 1.]]\n",
              " <NDArray 10x10 @cpu(0)>, 'aeroplane')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EgqWaF_UVIOF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        },
        "outputId": "79bf055f-20b1-4f91-e9b9-b6791bc247d4"
      },
      "source": [
        "def voc_rand_crop(feature, label, height, width):\n",
        "    feature, rect = image.random_crop(feature, (width, height))\n",
        "    label = image.fixed_crop(label, *rect)\n",
        "    return feature, label\n",
        "\n",
        "imgs = []\n",
        "for _ in range(n):\n",
        "    imgs += voc_rand_crop(train_features[0], train_labels[0], 200, 300)\n",
        "d2l.show_images(imgs[::2] + imgs[1::2], 2, n);"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Cyqkwm2HWrqA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class VOCSegDataset(gdata.Dataset):\n",
        "    def __init__(self, is_train, crop_size, voc_dir, colormap2label):\n",
        "        self.rgb_mean = nd.array([0.485, 0.456, 0.406])\n",
        "        self.rgb_std = nd.array([0.229, 0.224, 0.225])\n",
        "        self.crop_size = crop_size \n",
        "        features, labels = read_voc_images(root=voc_dir, is_train=is_train)        \n",
        "        self.features = [self.normalize_image(feature) for feature in self.filter(features)]\n",
        "        self.labels = self.filter(labels)\n",
        "        self.colormap2label = colormap2label \n",
        "        print('read ' + str(len(self.features)) + ' examples')\n",
        "\n",
        "    def normalize_image(self, img):\n",
        "        return (img.astype('float32') / 255 - self.rgb_mean) / self.rgb_std \n",
        "\n",
        "    def filter(self, imgs):\n",
        "        return [img for img in imgs if (\n",
        "            img.shape[0] >= self.crop_size[0] and\n",
        "            img.shape[1] >= self.crop_size[1]\n",
        "        )]\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        feature, label = voc_rand_crop(self.features[idx], self.labels[idx], *self.crop_size)\n",
        "        return (feature.transpose((2, 0, 1)), \n",
        "            voc_label_indices(label, self.colormap2label))\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.features)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_hLgN0ZEYYMy",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "afd95a09-e89d-47a7-f548-1ebde3dbe917"
      },
      "source": [
        "crop_size = (320, 480)\n",
        "voc_train = VOCSegDataset(True, crop_size, voc_dir, colormap2label)\n",
        "voc_test = VOCSegDataset(False, crop_size, voc_dir, colormap2label)"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "read 1114 examples\n",
            "read 1078 examples\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "46O1UrFrYYXe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "batch_size = 64 \n",
        "num_workers = 4 \n",
        "train_iter = gdata.DataLoader(voc_train, batch_size, shuffle=True, last_batch='discard', num_workers=num_workers)\n",
        "test_iter = gdata.DataLoader(voc_test, batch_size, last_batch='discard', num_workers=num_workers)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZAhYjPeqYYh2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "f3cdc4dc-cb27-4e01-968c-adfcf6b2fc02"
      },
      "source": [
        "for X, Y in train_iter:\n",
        "    print(X.shape)\n",
        "    print(Y.shape)\n",
        "    break"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(64, 3, 320, 480)\n",
            "(64, 320, 480)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yi5rosa1YYsJ",
        "colab_type": "text"
      },
      "source": [
        "## 9.10 全卷积网络 ( FCN ) "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QBXNiZ-2eZCn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%matplotlib inline \n",
        "import d2lzh as d2l \n",
        "from mxnet import gluon, image, init, nd \n",
        "from mxnet.gluon import data as gdata, loss as gloss, model_zoo, nn \n",
        "import numpy as np \n",
        "import sys "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZPQNCnwsfZyf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 158
        },
        "outputId": "734086d7-9790-4cf0-85dc-4d9c436257e0"
      },
      "source": [
        "X = nd.arange(1, 17).reshape((1, 1, 4, 4))\n",
        "K = nd.arange(1, 10).reshape((1, 1, 3, 3))\n",
        "conv = nn.Conv2D(channels=1, kernel_size=3)\n",
        "conv.initialize(init.Constant(K))\n",
        "conv(X), K"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(\n",
              " [[[[348. 393.]\n",
              "    [528. 573.]]]]\n",
              " <NDArray 1x1x2x2 @cpu(0)>, \n",
              " [[[[1. 2. 3.]\n",
              "    [4. 5. 6.]\n",
              "    [7. 8. 9.]]]]\n",
              " <NDArray 1x1x3x3 @cpu(0)>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P5I_0Ewjf8Tz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "outputId": "aa22e829-f2f3-45e2-8c80-b90220abca84"
      },
      "source": [
        "W, k = nd.zeros((4, 16)), nd.zeros(11)\n",
        "k[:3], k[4:7], k[8:] = K[0, 0, 0, :], K[0, 0, 1, :], K[0, 0, 2, :]\n",
        "W[0, 0:11], W[1, 1:12], W[2, 4:15], W[3, 5:16] = k, k, k, k \n",
        "nd.dot(W, X.reshape(16)).reshape((1, 1, 2, 2)), W "
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(\n",
              " [[[[348. 393.]\n",
              "    [528. 573.]]]]\n",
              " <NDArray 1x1x2x2 @cpu(0)>, \n",
              " [[1. 2. 3. 0. 4. 5. 6. 0. 7. 8. 9. 0. 0. 0. 0. 0.]\n",
              "  [0. 1. 2. 3. 0. 4. 5. 6. 0. 7. 8. 9. 0. 0. 0. 0.]\n",
              "  [0. 0. 0. 0. 1. 2. 3. 0. 4. 5. 6. 0. 7. 8. 9. 0.]\n",
              "  [0. 0. 0. 0. 0. 1. 2. 3. 0. 4. 5. 6. 0. 7. 8. 9.]]\n",
              " <NDArray 4x16 @cpu(0)>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kgC1T_l1hA2U",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "396c64bd-a57f-4ac3-9d3a-de4586720b2d"
      },
      "source": [
        "conv = nn.Conv2D(10, kernel_size=4, padding=1, strides=2)\n",
        "conv.initialize()\n",
        "\n",
        "X = nd.random.uniform(shape=(1, 3, 64, 64))\n",
        "Y = conv(X)\n",
        "Y.shape"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 10, 32, 32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EYtFYR6ojCn_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "61be0973-c643-4d19-fc46-9d269d97f908"
      },
      "source": [
        "conv_trans = nn.Conv2DTranspose(3, kernel_size=4, padding=1, strides=2)\n",
        "conv_trans.initialize()\n",
        "conv_trans(Y).shape "
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 3, 64, 64)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1tfruw7PjX6V",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        },
        "outputId": "c983513c-27ea-4c5e-9118-7cd323befb22"
      },
      "source": [
        "pretrained_net = model_zoo.vision.resnet18_v2(pretrained=True)\n",
        "pretrained_net.features[-4:], pretrained_net.output"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(HybridSequential(\n",
              "   (0): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512)\n",
              "   (1): Activation(relu)\n",
              "   (2): GlobalAvgPool2D(size=(1, 1), stride=(1, 1), padding=(0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCHW)\n",
              "   (3): Flatten\n",
              " ), Dense(512 -> 1000, linear))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "amDlPzTHkJmw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "net = nn.HybridSequential()\n",
        "for layer in pretrained_net.features[:-2]:\n",
        "    net.add(layer)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nKfuHrU_kiq2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "bf6fb143-209e-4137-9eb5-fc3a7da082bc"
      },
      "source": [
        "X = nd.random.uniform(shape=(1, 3, 320, 480))\n",
        "net(X).shape"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 512, 10, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "et4WWq3Hk1gA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "num_classes = 21 \n",
        "net.add(nn.Conv2D(num_classes, kernel_size=1), \n",
        "    nn.Conv2DTranspose(num_classes, kernel_size=64, padding=16, strides=32))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2LrhC7_ylVCo",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def bilinear_kernel(in_channels, out_channels, kernel_size):\n",
        "    factor = (kernel_size + 1) // 2 \n",
        "    if kernel_size % 2 == 1:\n",
        "        center = factor - 1 \n",
        "    else:\n",
        "        center = factor - 0.5 \n",
        "    og = np.ogrid[:kernel_size, :kernel_size]\n",
        "    filt = (1 - abs(og[0] - center) / factor) * (1 - abs(og[1] - center) / factor) \n",
        "    weight = np.zeros((in_channels, out_channels, kernel_size, kernel_size), dtype='float32')\n",
        "    weight[range(in_channels), range(out_channels), :, :] = filt \n",
        "    return nd.array(weight)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X-cdRS1lnlPp",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "conv_trans = nn.Conv2DTranspose(3, kernel_size=4, padding=1, strides=2)\n",
        "conv_trans.initialize(init.Constant(bilinear_kernel(3, 3, 4)))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AI13YuRDpRby",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!cp ./d2l-zh/img/catdog.jpg ../img/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z48KFQroofOX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "img = image.imread('../img/catdog.jpg')\n",
        "X = img.astype('float32').transpose((2, 0, 1)).expand_dims(axis=0) / 255 \n",
        "Y = conv_trans(X)\n",
        "out_img = Y[0].transpose((1, 2, 0))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7VYLdVlbpNV1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "outputId": "5d4f7d6b-5109-49b9-f63f-4d178cccfe63"
      },
      "source": [
        "d2l.set_figsize()\n",
        "print('input image shape:', img.shape)\n",
        "d2l.plt.imshow(img.asnumpy()); \n",
        "print('output image shape:', out_img.shape)\n",
        "d2l.plt.imshow(out_img.asnumpy());"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "input image shape: (561, 728, 3)\n",
            "output image shape: (1122, 1456, 3)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 252x180 with 1 Axes>"
            ],
            "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"170.716782pt\" version=\"1.1\" viewBox=\"0 0 223.20508 170.716782\" width=\"223.20508pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <defs>\n  <style type=\"text/css\">\n*{stroke-linecap:butt;stroke-linejoin:round;}\n  </style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 170.716782 \nL 223.20508 170.716782 \nL 223.20508 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 39.65 146.838657 \nL 216.00508 146.838657 \nL 216.00508 10.938657 \nL 39.65 10.938657 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g clip-path=\"url(#p59a9d17e77)\">\n    <image height=\"136\" id=\"imageb3e0fed9c7\" 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          "metadata": {
            "tags": []
          }
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      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BtunZ575qy0q",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "net[-1].initialize(init.Constant(bilinear_kernel(num_classes, num_classes, 64)))\n",
        "net[-2].initialize(init=init.Xavier())"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F_qfjjXHrMdr",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "8d281e2e-e432-4856-a38e-0bac4048c17d"
      },
      "source": [
        "crop_size, batch_size, colormap2label = (320, 480), 32, nd.zeros(256**3)\n",
        "for i, cm in enumerate(d2l.VOC_COLORMAP):\n",
        "    colormap2label[(cm[0] * 256 + cm[1]) * 256 + cm[2]] = i \n",
        "voc_dir = d2l.download_voc_pascal(data_dir='../data')\n",
        "\n",
        "num_workers = 4 \n",
        "train_iter = gdata.DataLoader(\n",
        "    d2l.VOCSegDataset(True, crop_size, voc_dir, colormap2label), batch_size, \n",
        "    shuffle=True, last_batch='discard', num_workers=num_workers\n",
        ")\n",
        "test_iter = gdata.DataLoader(\n",
        "    d2l.VOCSegDataset(False, crop_size, voc_dir, colormap2label), batch_size, \n",
        "    last_batch='discard', num_workers=num_workers\n",
        ")"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "read 1114 examples\n",
            "read 1078 examples\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "19AODC0estS3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        },
        "outputId": "f91477f1-5f66-4a20-bb7a-804de1b9a1a8"
      },
      "source": [
        "ctx = d2l.try_all_gpus()\n",
        "loss = gloss.SoftmaxCrossEntropyLoss(axis=1)\n",
        "net.collect_params().reset_ctx(ctx)\n",
        "trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.1, 'wd': 1e-3})\n",
        "d2l.train(train_iter, test_iter, net, loss, trainer, ctx, num_epochs=5)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "training on [gpu(0)]\n",
            "epoch 1, loss 1.2286, train acc 0.742, test acc 0.813, time 35.4 sec\n",
            "epoch 2, loss 0.4995, train acc 0.847, test acc 0.829, time 34.4 sec\n",
            "epoch 3, loss 0.4193, train acc 0.865, test acc 0.841, time 33.8 sec\n",
            "epoch 4, loss 0.3459, train acc 0.885, test acc 0.849, time 33.6 sec\n",
            "epoch 5, loss 0.2979, train acc 0.899, test acc 0.839, time 33.6 sec\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wsMWnKDGy1us",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def predict(img):\n",
        "    X = test_iter._dataset.normalize_image(img)\n",
        "    X = X.transpose((2, 0, 1)).expand_dims(axis=0)\n",
        "    pred = nd.argmax(net(X.as_in_context(ctx[0])), axis=1)\n",
        "    return pred.reshape((pred.shape[1], pred.shape[2]))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LPtUKVB4304B",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def label2image(pred):\n",
        "    colormap = nd.array(d2l.VOC_COLORMAP, ctx=ctx[0], dtype='uint8')\n",
        "    X = pred.astype('int32')\n",
        "    return colormap[X, :]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QQ0oNfBe1IVy",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "outputId": "1778e904-909c-466a-c220-76e823b1e1be"
      },
      "source": [
        "test_images, test_labels = d2l.read_voc_images(is_train=False)\n",
        "n, imgs = 4, []\n",
        "for i in range(n):\n",
        "    crop_rect = (0, 0, 480, 320)\n",
        "    X = image.fixed_crop(test_images[i], *crop_rect)\n",
        "    pred = label2image(predict(X))\n",
        "    imgs += [X, pred, image.fixed_crop(test_labels[i], *crop_rect)]\n",
        "d2l.show_images(imgs[::3] + imgs[1::3] + imgs[2::3], 3, n);"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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7iUQinDhxghMnTpBKpXA6ndhsNuLxOJFIRCgTVRSali5dWsjn80LhmkwmSaT33HOPeMgDDzxAc3MzVquV2tpapk2bxp///GfhXUaOHMnu3bsBcDqdIviGhga+/vprACoqKohEIqRSKREiwDXXXIPP56Orq0vCQCaTYebMmXi9Xr744gvxPmUwKt7mcjnxsNbWVpxOJ5qmMWLECM6ePStEXKFQIBgMUl9fTzQaZdKkSUJhfPTRR/h8Pvbs2SP39/nnn+NwOCgUCvT29nL69Gm++OILCT2AUD3hcFhqLEUClpSUYLVaBTWqqHLBBReIYRcXFwuC1Lu6ushkMiQSCaxWK1arlXA4zP333y+au+OOOwTeZjIZJk2axJ49e9A0Tbzg4MGDUq3W1NTQ399PPB6XkKDifX9//wAMbTab+fLLL/F4PJSWlgokzmQybNq0iVAoRCQSYdiwYcLxnD59WuBhLpejr6+PRCKByWQiFApJklfXKyoqQtd1Sai6rnPkyBFyuRxTp07l6quvZvPmzZSVlXHy5Em2bNnCqlWrpBJWQi4vLyeRSJyjrXWdeDyOyWSiqKiI4uJihg8fzoQJE3C5XDQ3N7N+/Xo+++wzotEolZWVlJeXM3HiROlzqJpi0aJF6Dt37qSyslI0abVamTVrlgj68ccfp7y8nIaGBo4cOYLD4eDo0aMEAgFyuZygK1UEKp7H6XTicDgkWadSKVpaWhgyZIjgbEWuGbkXq9VKKBSSZOfxeDh27BjHjx8nFotx6623Cq+voKFCZX6/Xyp8hWrKy8sFeJjNZiwWCzt37qS9vZ2amhpSqRQffPCBvO/1ernllltYtmwZTqdTvDuRSPDEE0/gdDoZMWIEDodDDEbTNA4cOIDJZKKkpASHw0EymcTj8TB8+HAJ5UePHpV7UcWwakKZZ8+e/dPS0lK8Xi8ul4tx48ZRXFxMNBpl5cqVJJNJJkyYQHd3N4FAgGw2y0UXXcSOHTvQdZ2qqiqCwSA+n086c6oAmz59OseOHZPip76+HofDQSQSkeQ6evRo6urqOHPmDF1dXUSjUS699FKOHj1KS0sL/f39xGIxYXNHjBjBrFmzaGxsZPz48cyZM4fGxkamTp1KIBAQVjiVSqHrOv/+7//O+PHj2bZtm9DPc+bMYfTo0Rw+fJju7m6qq6uxWCz09vYK1t+2bRszZ86ktrZWqui2tjYxNFUE+/1+YaxVv2bYsGHSjaurq6O+vp5Ro0Yxc+ZMqb8KhYKEpurqavSamhqcTqdoZ8GCBfT29nL33XfT0dHBxo0beeaZZxg6dChdXV0A/PWvf5VGzZkzZygtLZXKE6Cmpobe3l7JOeonHA7j8/mYP38+F110ES+88IJ00RwOhyhcdbhcLhdlZWU8/fTTWCwWTp8+LcJSIUfTNGpra8nlcixevJhkMimemEwm6erqwuVyccsttwhF7/P5MJvNXHbZZTzzzDPkcjnGjRuH3++nvLwcp9NJIpEgFApx3333sXLlShwOBzNnzsRut0v4U6FRKUIZXDabZeTIkcRiMVKpFDabTeoph8OB2WyWplkkEuHs2bOY7rvvvoLFYsHtdjNv3jx+/OMfEwwGKSkpYffu3cyYMQOv18vJkydJJBJ0dXWRTCaZOnUqR48eJZ1OC7LZvn07o0aNwmq1Ul1dzYMPPkhxcbHQwQpdbNiwgaamJmKxGG+88QbxeFxYTUWwmc1moakLhYJ091QB6Ha7SafTlJSUUFdXJwtUxalqAZeUlJBOpzl+/DhDhgyhuLiYbDZLZ2cnZrNZclt9fT0LFizgnXfeYezYsfz2t7+lsbGRZ599VtrFX331FeFwmEAgIEx0cXEx5eXlUiMEAgF8Ph89PT309fXR1dXFqVOniEQiTJ8+nXHjxgn519DQQHNzMydOnEBva2tD0zSuvfZaFi5ciNlspqqqilgsxqOPPorX62Xfvn20tLRIwWc2m9m9ezdlZWU8/vjjXHLJJWzZsoXHHnuMDz/8UBo6K1asEMpD1Q+Kh/rkk0/weDxMnz6dHTt2SEJXiM3I56hK1VjVK6rB7/cTCoUETOi6ztVXX01XVxfjxo2Tzl9xcTENDQ2sXbuWMWPGcObMGcaMGSP8T3d3N7/61a+44447CIfDuFwuHn74YeHfAN5//338fr9QG4CAlcsuu4zJkydjMpl477332L17tzR9crmcnEflCNV2qKmpYe/evejXXnstEyZM4Ac/+AH19fVccsklOBwO+vr6KCsrk0Ju27ZtpNNpjh49yv79+wUSFgoF/vjHPwJw6NAhqqqqmDZtGh9++CEVFRWYzWY8Ho+Eps8++4zZs2ejaRoVFRXs3buXkSNHUldXx6uvvirIpqamRhKm3++XBKnwvKZp0oRXXqdqGIC5c+cSCAQ4efIk4XCYUaNGMXToUJYuXUoqlSKVSjFy5EhCoRDBYJCWlhbOnDlDKBSirq4Ol8vF8uXLWbt2LaFQiEKhQHl5OZqmUVVVRSAQ4Nprr2X9+vVieMpwcrkcdXV1zJ8/n0suuYQHH3wQm82G0+mU3KUqdHXP+tmzZzl16hSPP/44oVCI48ePU1FRwYkTJygUCrhcLrq6unj77bcB6O3tlaStKAFFcfT29jJy5EiKi4ulkrZarVRUVJBKpfB4PGQyGZLJJC6Xi1OnThEKhdA0jUgkwmWXXSZdN4vFwscff0xtbS2VlZXYbDba29txuVzYbLYB2Lyrq4vu7m6i0Sj9/f3SM66oqKC+vp7i4mICgQDr1q3j5ptvprS0FLfbTSaToaKigpqaGnw+H1OnTuWXv/wlR44coaKiguHDhxMOh3E6ncTjcWFzu7u7hZ45c+YMc+bMwev1EovFcLvd+Hw+ysrKsNvtWK1Wpk6dis/nk7onl8tRVlbG7373O+bPn3+uefb973+fnTt38tFHH9Hb24vH4+Grr76iUChw+vRpPB4PJSUlAuMUZFPtS7WYYDAo/LtiG1V3y2azCQevOn1qPMVisTB8+HCmTp1KW1sbf/vb3/D5fPT19bFlyxa++93vsm7dOg4ePEhTU5OER9X7XbVqlXhtoVDg4YcfJhQKCXNaXl5Of38/xcXFPPXUU7z44ovouk53dzfPPPMMsViMU6dOSS1z0UUXceDAAQKBABdccAF2u52Ojg5qa2sZOnQoiUSCYDAohZ9qAwCEQiESiQTd3d1YrVbh5yKRCJWVldIrVyjs7Nmz2Gw2du7ciTZ69Ggee+wx4vE4ixcv5sorr2TevHlEIhHOnDnDrFmzpJiZNGkSCxYs4Nvf/jb19fViSYrKVQhGDXw1NjZKQquurpY5KeMMUC6X45prrpEGEsDChQsZN24cRUVFfPrpp2iaxqxZs7DZbKJMp9PJ66+/LqFM0zQWL14slpvNZnG73bz88svs378fu92O3+8nEokI3lf5prGxEb/fT2NjI2VlZXz00Uc88sgj1NfX43Q6GT58ODU1NXi9XjweD9FoVJhmBdeTySTJZJLRo0czZMgQXC4XoVBI6A2FBpPJpMhz1apVOJ3Oc8MQ11xzDclkkqamJm666SZuueUWZs+eLYTf3r17CYfDfPzxx+zfv19i/dVXX00+n2fq1Kk4nc4BEDWZTJ4r2/9BDPb29jJ8+HBBNYpgTCaTkpQdDgdjx46loqKC3//+9/z3f/83dXV1xONx7r77binSFM7//e9/L54BsGTJEvHWdDqNy+VixYoVMv2hvPSHP/yhsMsvv/yyCPOxxx6jq6uLTZs20dTURCAQoLOzE4vFQl1dnSA/NTTg9/uxWCxUVlYKf6RarW63WxBUa2srvb290oZWBlhWVobT6aSuru5ci0Axpt///veZOXMmzz77LMuXL+f2228nHo9TW1uLw+Fg1KhRVFZW0tnZSUtLCx988AHJZJL33ntP+tCAWNnhw4fZt28fhw4dIp/PU1lZSWVlJQsXLqSoqIgjR46IEFUYGzNmjHD7jY2NZLNZHnroIUnQCv6++eab8r+maXz729+WaT+r1cr27dtZvXr1AIZ4xYoVQtEPGzZMPvvVV1+Jpe7cuZN8Pk95eTn79++Xscnrr7+e0tJS6TUo2kX1yr/44gs+++wzqqurWb9+PR0dHRLCOjs76ejowO/3y7iNmv1SYTaZTKKNGTOGGTNmkM/n2blzJx9++CHBYJAjR45gt9tpaWkRjK9pGh0dHUyePFkKq5qaGhKJBOFwGE3TmDZtmpBlNpuNCRMmYLfbqa6u5syZM3R2dvLUU0/R2Ng4oNR/5ZVX+MUvfjFgauKuu+4il8vJa2+99Rbr16+X/xUPZuyvb9myhe7ubrE8RYcoxJXL5bj22mulEPviiy9EOMuWLZN64Mc//rHMe1VXV+NyudixYwfHjx8nkUgQj8eJxWIDRnjefvtt9u7dy7Fjx2htbaW/v5+2tjYikQh+v19oIVX/FBUVYbfbz80At7a2snnzZunnBgIBDh48KCymGlFRlaHZbObQoUOUl5dz7733ys0ozunYsWMSAhRJF4vFWLFiBZWVlWzfvp3du3dzzTXXCL5esWIFVqtVmjCapnHfffdJKNM0jT/+8Y9Cdytua/HixdhsNoHR77//Pt3d3dKkt9ls/PCHP5R5q9/85jei/H/7t3+TmmjNmjUUFRUJBPZ6vaxfv16Kw4aGBlpbW9mxYwc7d+6UwrK7u/tcd+0fMNrlcmE2mykrKyOZTBIMBmlubiabzRIOhwmFQiSTSZlncjgc2O12zp49i+73+/F6vRQKBRwOB11dXdTW1nL06FH6+/ulaAmFQoTDYerr67FarRw5coSf/exnXH755cTjcQBBSFarlUgkQkVFBV9//TUNDQ3SUbNYLLz//vv09fUJtaH6u4pRfeSRR4S30TSN1atXk0wmhaIAuOeee6RgMplMfPTRR8LsKgtdsGABNptNsLui+MPhsNynquIzmQw2m41nn32WjRs3CqpzuVwEAgHxcnV+XddZvnw5uq5z4YUXUltbSzwe57r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